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Advanced Splunk
by Ashish Kumar YadavMaster the art of getting the maximum out of your machine data using Splunk About This Book * A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3 * Develop and manage your own Splunk apps for greater insight from your machine data * Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualization Who This Book Is For This book is for Splunk developers looking to learn advanced strategies to deal with big data from an enterprise architectural perspective. It is expected that readers have a basic understanding and knowledge of using Splunk Enterprise. What You Will Learn * Find out how to develop and manage apps in Splunk * Work with important search commands to perform data analytics on uploaded data * Create visualizations in Splunk * Explore tweaking Splunk * Integrate Splunk with any pre-existing application to perform data crunching efficiently and in real time * Make your big data speak with analytics and visualizations using Splunk * Use SDK and Enterprise integration with tools such as R and Tableau In Detail Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization - the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk. Style and approach This book follows a step by step approach. Every new concept is built on top of its previous chapter, and it is full of examples and practical scenarios to help the reader experiment as they read.
Advanced State Space Methods for Neural and Clinical Data
by Zhe ChenThis authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.
Advanced Statistical Analysis for Soil Scientists
by Tancredo SouzaIn the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive guide to modern statistical methods such as PERMANOVA, ANOSIM, PCA, NMDS, RDA, and SEM, tailored specifically for soil science research.Through practical examples and case studies, the book demonstrates how these techniques can be applied to analyze complex datasets, identify patterns, and model interactions within soil ecosystems. It provides step-by-step guidance on data preparation, analysis, and interpretation, making it a valuable resource for students, early-career researchers, and professionals in soil science. By combining theoretical foundations with practical applications, Handbook of Advanced Statistical Analysis Applied presentes analytical tools needed to conduct rigorous research, contribute to scientific knowledge, and address challenges in sustainable land management. This book serves as a critical resource for mastering advanced statistical approaches in soil science.
Advanced Statistical Methods
by Sahana PrasadThis is the second book of the two volumes covering the advanced statistical methods and analysis. Significant topics include advanced concepts in regression, index numbers, time series, and vital statistics. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for advanced undergraduate students of statistics, management, economics, and psychology, wanting to gain advanced understanding of statistics and the usage of its various concepts.
Advanced Statistical Methods for Astrophysical Probes of Cosmology (Springer Theses)
by Marisa Cristina MarchThis thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which addresses this problem and seeks to deliver an absolute rather than a relative measure of how good a model is. Supernovae type Ia were the first astrophysical observations to indicate the late time acceleration of the Universe - this work presents a detailed Bayesian Hierarchical Model to infer the cosmological parameters (in particular dark energy) from observations of these supernovae type Ia.
Advanced Statistical Methods for the Analysis of Large Data-Sets (Studies in Theoretical and Applied Statistics)
by Jose Miguel Angulo Ibanez Mauro Coli Agostino Di CiaccioThe theme of the meeting was "Statistical Methods for the Analysis of Large Data-Sets". In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on "Advanced Statistical Methods for the Analysis of Large Data-sets."
Advanced Statistical Methods in Data Science (ICSA Book Series in Statistics)
by Hao Yu Ding-Geng Chen Jiahua Chen Xuewen Lu Grace Y. YiThis book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
Advanced Statistical Methods in Life Science
by Basavarajaiah D.M Narasimhamurthy BThis book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features: Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science: Essays in Honour of Wolfgang Schmid
by Sven Knoth Philipp Otto Yarema OkhrinThis book presents a unique collection of contributions on modern methods and applications in three key areas of statistics, celebrating the significant work of Wolfgang Schmid in this field. It is structured thematically into parts focusing on statistical process monitoring, financial statistics, and spatial statistics with environmetrics, each featuring chapters from leading experts. The opening articles on statistical process monitoring present novel methodologies for the detection of anomalies and control charting techniques, which are crucial for maintaining quality in manufacturing processes. Detailed discussions are included on integrating multivariate statistical methods and real-time monitoring to enhance process reliability and efficiency. The part on financial statistics explores rigorous approaches in financial econometrics, with an emphasis on dynamic modelling of market volatility and risk assessment. Contributions cover advanced asset allocation strategies, leveraging high-dimensional data analysis, and the application of machine learning techniques. Spatial statistics and environmetrics are addressed through innovative research on the statistical analysis of environmental data. This includes the use of geostatistical models and hybrid models that combine traditional statistical techniques with machine learning to improve the prediction of environmental phenomena. Key topics here involve the modelling of extremes and airborne pollutants, the prediction of earthquakes using a smartphone-based sensor network, and reviews of selected topics essential in modern spatial statistics. Each part not only reflects Wolfgang Schmid’s interests and impact in these areas but also provides detailed theoretical and applied studies, demonstrating how these sophisticated statistical methods can be effectively employed in practical scenarios. This makes the book an indispensable resource for researchers and practitioners looking to apply cutting-edge statistical techniques in these complex fields.
Advanced Statistics for Kinesiology and Exercise Science: A Practical Guide to ANOVA and Regression Analyses
by Jared W. Coburn Moh H. Malek William D. MarelichAdvanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated-measures ANOVA; analysis of covariance and multiple analyses of variance and covariance; diagnostic tests; regression models for quantitative and qualitative data; model selection and validation; logistic regression Drawing clear lines between the use of IBM SPSS Statistics software and interpreting and analyzing results, and illustrated with sport and exercise science-specific sample data and results sections throughout, the book offers an unparalleled level of detail in explaining advanced statistical techniques to kinesiology students. Advanced Statistics for Kinesiology and Exercise Science is an essential text for any student studying advanced statistics or research methods as part of an undergraduate or postgraduate degree programme in kinesiology, sport and exercise science, or health science.
Advanced Statistics for Physical and Occupational Therapy
by Thomas Gus AlmonroederAdvanced Statistics for Physical and Occupational Therapy explains the basis for statistical analyses that are commonly used to answer clinical research questions related to physical and occupational therapy. This textbook provides a resource to help students and faculty in physical and occupational therapy graduate programs understand the basis for common statistical analyses and be able to apply these techniques in their own research. This textbook provides readers with the basis for common statistical analyses, including t-tests, analysis of variance, regression, and nonparametric tests. Each chapter includes step-by-step tutorials with corresponding example data sets explaining how to conduct these statistical analyses using Statistical Package for the Social Sciences (SPSS) software and the Excel Analysis ToolPak, as well as how to identify and interpret relevant output and report results. Advanced Statistics for Physical and Occupational Therapy is key reading for students in physical therapy, occupational therapy, sport performance, and sport rehabilitation graduate programs as well as students in athletic training courses, applied statistics in sport, and research methods in sport modules. This new text will also be of interest to practicing clinicians who hope to better understand the research they are reading and/or are interested in starting to conduct their own clinical research.
Advanced Statistics for Testing Assumed Casual Relationships: Multiple Regression Analysis Path Analysis Logistic Regression Analysis (University of Tehran Science and Humanities Series)
by Hooshang NayebiThis book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.
Advanced Statistics for the Behavioral Sciences: A Computational Approach with R
by Jonathon D. BrownThis book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.
Advanced Statistics in Criminology and Criminal Justice
by David Weisburd Chester Britt David B. Wilson Alese WooditchThis book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is “the general linear model” which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better design studies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusions.
Advanced Statistics in Regulatory Critical Clinical Initiatives (Chapman & Hall/CRC Biostatistics Series)
by Wei ZhangAdvanced Statistics in Regulatory Critical Clinical Initiatives is focused on the critical clinical initiatives introduced by the 21st Century Cure Act passed by the United States Congress in December 2016. The book covers everything from the outline of the initiatives to analysis on the effect on biopharmaceutical research and development. Advanced Statistics in Regulatory Critical Clinical Initiatives provides innovative ways to resolve common challenges in statistical research of rare diseases such small sample sizes and provides guidance for combined use of data. With analysis from regulatory and scientific perspectives this book is an ideal companion for researchers in biostatistics, pharmaceutical development, and policy makers in related fields.Key Features: Provides better understanding of innovative design and analysis of each critical clinical initiatives which may be used in regulatory review/approval of drug development. Makes recommendations to evaluate submissions accurately and reliably. Proposes innovative study designs and statistical methods for oncology and/or rare disease drug development. Provides insight regarding current regulatory guidance on drug development such as gene therapy and rare diseases.
Advanced Statistics with Applications in R (Wiley Series in Probability and Statistics #392)
by Eugene DemidenkoAdvanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.
Advanced Steel Design of Structures
by Srinivasan ChandrasekaranAdvanced Steel Design of Structures examines the design principles of steel members under special loads and covers special geometric forms and conditions not typically presented in standard design books. It explains advanced concepts in a simple manner using numerous illustrative examples and MATLAB® codes. Features: Provides analysis of members under unsymmetrical bending Includes coverage of structures with special geometry and their use in offshore applications for ultra-deep water oil and gas exploration Presents numerical modeling and analysis of steel members under fire conditions, impact, and blast loads Includes MATLAB® examples that will aid in the capacity building of civil engineering students approaching this complex subject Written for a broad audience, the presentation of design concepts of steel members will be suitable for upper-level undergraduate students. The advanced design theories for offshore structures under special loads will be an attractive feature for post-graduate students and researchers. Practicing engineers will also find the book useful, as it includes numerous solved examples and practical tutorials.
Advanced Steels: The Recent Scenario in Steel Science and Technology
by Han Dong Yong Gan Yuqing Weng"Advanced Steels: The Recent Scenario in Steel Science and Technology" contains more than 50 articles selected from the proceedings of the International Conference on Advanced Steels (ICAS) held during 9-11, Nov, 2010 in Guilin, China. This book covers almost all important aspects of steels from physical metallurgy, steel grades, processing and fabrication, simulation, to properties and applications. The book is intended for researchers and postgraduate students in the field of steels, metallurgy and materials science. Prof. Yuqing Weng is an academician of Chinese Academy of Engineering and the president of The Chinese Society for Metals. Prof. Han Dong is the vice president of Central Iron & Steel Research Institute and the director of National Engineering Research Center of Advanced Steel Technology, China. Prof. Yong Gan is an academician of Chinese Academy of Engineering, the vice president of Chinese Academy of Engineering and the president of Central Iron & Steel Research Institute, China.
Advanced Strategic Management: A Dynamic Approach to Competition
by Roberto S. Vassolo Natalia Weisz Benjamin LakerAdvanced Strategic Management offers a distinctive evolutionary perspective, unveiling consistent processes that shape competitive dynamics. It goes beyond traditional boundaries, exploring evolutionary trends across industry life cycles, commodity cycles, and the business cycle. Seamlessly integrating analyses of environmental trends and the transformative impact of the digital revolution, the book underscores the crucial role of regulations and taxes in influencing firm-level performance.A key strength lies in its holistic coverage, encompassing core elements of competitive and corporate strategy while delving deeper into advanced models and tools for strategic evaluation, formulation, and implementation. This depth equips readers, including future business leaders, with a profound understanding of competitive dynamics.The book's unique approach integrates strategic management with adaptive leadership, offering readers a comprehensive and practical perspective rooted in extensive research and international case examples. This approach ensures global relevance.Instructors will find the book's wealth of examples, tables, figures, and references invaluable for class preparation. The abundance of statistical data facilitates students' comprehension of evolutionary forces and their impact on competition and performance. The structured pedagogy streamlines teaching, and the addition of PowerPoint slides further enhances its educational utility.In summary, Advanced Strategic Management is a comprehensive, globally aware, and practically oriented resource that bridges the gap between theory and application. Its innovative approach and rich content make it an indispensable tool for students, educators, and practitioners navigating the complexities of modern strategic management.
Advanced Strategies for Biodegradation of Plastic Polymers
by Reeta Goel Ravindra Soni Deep Chandra Suyal Prasenjit DebbarmaSynthetic plastic offers a wide range of utilities because of its physico-chemical properties, thus the demand for its commercial availability and generation of waste is inevitable. Although the scientists have proved over the years that plastics can be efficiently biodegraded by different potential microorganisms, this sustainable green technology is still in the cocoon phase and overlooked by the industry and government as well. Therefore, this book will showcase the cutting-edge microbial tools to mitigate the plastic waste sustainably in consideration of latest technologies and recent strategic advancements besides discussing the global plastic production and their impacts on environment. It will also provide the present status and future perspectives of the environmental clean-up technologies. Moreover, it is an effort to ascertain the potential areas for large-scale biodegradation or pilot scale or start-up ventures in the field of plastic remediation strategy.
Advanced Strategies for Marketing Art
by Constance SmithEducating oneself in all aspects of marketing is a necessity for any emerging or established artist. In this new book, artists will be taught to think about innovative and genre-specific marketing venues that they otherwise never would have explored.Names and websites of prominent and established art world professionals in a variety of venues are noted. Advance tax issues that will help artists save money are addressed, as well as advertising venues and direct mail innovations. Exposing your artwork online is discussed in detail, including how to develop a profitable and respectful website. Detailed information on how to approach a gallery owner and how to find a rep is also included. Information on art retreats and workshops is covered.Several prominent art world professionals have added their two cents in a variety of articles throughout the chapters, giving direct insight into how art professionals think and work. If you are a working, professional, exhibiting artist, you can't pass up this book, which will take you to new levels in your career.
Advanced Strategies for Tooth Extraction in Dentistry: Beyond Basics
by Seong-Gon Kim Ji-Hyeon Oh Dae-Seok HwangThe book aims to provide comprehensive insights and techniques to dental students and practicing dentists seeking to expand their skills in tooth extraction. Building upon the foundational knowledge acquired during dental education, this book delves into the intricacies of advanced tooth extraction strategies. It covers a wide range of topics, including complex extractions, impacted teeth, surgical techniques, management of complications, and specialized cases. The book takes a practical approach, combining evidence-based principles with clinical expertise to equip readers with the necessary tools to tackle challenging extraction cases confidently. The purpose of this book is to bridge the gap between basic tooth extraction skills and the demands of real-world clinical practice. It recognizes that dentists need to continually enhance their abilities to handle more complex cases and overcome potential complications. By presenting advanced strategies and insights, the book aims to empower readers to refine their decision-making skills, improve surgical techniques, and optimize patient outcomes. Through clear explanations, detailed illustrations, and case examples, the book will serve as a valuable resource for dentists seeking to expand their expertise in tooth extraction. It strives to elevate the reader's confidence, competence, and proficiency in handling a wide range of extraction scenarios, ultimately enhancing the quality of dental care provided to patients.
Advanced Strength And Applied Stress Analysis
by Richard G. BudynasThis book provides a broad and comprehensive coverage of the theoretical, experimental, and numerical techniques employed in the field of stress analysis. Designed to provide a clear transition from the topics of elementary to advanced mechanics of materials. Its broad range of coverage allows instructors to easily select many different topics for use in one or more courses. The highly readable writing style and mathematical clarity of the first edition are continued in this edition. Major revisions in this edition include: an expanded coverage of three-dimensional stress/strain transformations; additional topics from the theory of elasticity; examples and problems which test the mastery of the prerequisite elementary topics; clarified and additional topics from advanced mechanics of materials; new sections on fracture mechanics and structural stability; a completely rewritten chapter on the finite element method; a new chapter on finite element modeling techniques employed in practice when using commercial FEM software; and a significant increase in the number of end of chapter exercise problems some of which are oriented towards computer applications.
Advanced Strength and Conditioning: An Evidence-based Approach
by Anthony N. TurnerBecoming an effective strength and conditioning practitioner requires the development of a professional skills set and a thorough understanding of the scientific basis of best practice. Aimed at advanced students and novice-to-expert practitioners, in this book the authors explore the latest scientific evidence and apply it to exercise selection and programming choices across the full range of areas in strength and conditioning, from strength and power, speed and agility, to aerobic conditioning. Since the first edition of this text was written extensive research has expanded the supporting evidence base that provides the theoretical foundation for each chapter. In addition, some areas that were previously under-researched have now been expanded and some key concepts have been further challenged. Each chapter is written by experts with experience in a wide variety of sports, including both applied and research experience, ensuring this concise but sophisticated textbook is the perfect bridge from introductory study to effective professional practice. While advanced concepts are explored within the book, the coach must not forget that consistency in the application of the basic principles of strength and conditioning is the foundation of athletic development. Advanced Strength and Conditioning: An Evidence- based Approach is a valuable resource for all advanced students and practitioners of strength and conditioning and fitness training.
Advanced Strength and Conditioning: An Evidence-based Approach
by Paul Comfort Anthony TurnerBecoming an effective strength and conditioning practitioner requires the development of a professional skills set and a thorough understanding of the scientific basis of best practice. Aimed at advanced students and beginning practitioners, this book explores the latest scientific evidence and applies it to exercise selection and programming choices across the full range of functional areas in strength and conditioning, from strength and power to speed and agility. With coverage of data analysis and performance feedback, both vital skills for the contemporary strength and conditioning coach, this concise but sophisticated textbook is the perfect bridge from introductory study to effective professional practice. Written by experts with experience in a wide variety of sports, its chapters are enhanced by extensive illustrations and address key topics such as: fitness testing and data analysis developing strength and power motor skill acquisition and development strategies for competition priming monitoring training load, fatigue and recovery. Advanced Strength and Conditioning: An Evidence-based Approach is a valuable resource for all advanced students and practitioners of strength and conditioning and fitness training.