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Basiswissen Statistik: Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik (Springer-Lehrbuch)
by Ansgar StelandIn diesem Buch werden in kompakter Form mithilfe zahlreicher Beispiele die #65533;blichen Modelle und Methoden der angewandten Wahrscheinlichkeitstheorie und Statistik dargestellt. Es ist daher insbesondere f#65533;r angehende Wirtschaftswissenschaftler, Ingenieure und Informatiker geeignet, welchen auch das didaktische Konzept des Buchs entgegenkommt: Verst#65533;ndnisfragen und Aufgaben in Form von ,,Meilensteinen" erleichtern das eigenst#65533;ndige #65533;berpr#65533;fen des Lernfortschritts. Ein ausf#65533;hrlicher mathematischer Anhang ,,Mathematik kompakt" stellt die wichtigsten Ergebnisse aus Analysis und linearer Algebra zum effizienten Nachschlagen zur Verf#65533;gung. Ein Glossar mit den wichtigsten englischen Begriffen sowie Tabellen der statistischen Testverteilungen runden die Darstellung ab.
Basiswissen Wirtschaftsinformatik
by Thomas Lux Roland Gabriel Peter Weber Katharina MenkeDas Buch ist als Lehr- und Arbeitsbuch konzipiert. Es ist modular aufgebaut und beinhaltet in 10 Kapiteln Einführungen in die elementaren Bereiche der Wirtschaftsinformatik. Die Kapitel umfassen neben inhaltlichen Exkursen am Ende jeweils auch Wiederholungsfragen und praktische Aufgaben, für die in einem gesonderten Kapitel Lösungen bereitgestellt werden. Den Abschluss bilden zwei Fallstudien zur Digitalen Transformation. Das Buch eignet sich als Begleitwerk für Vorlesungen an Universitäten und Fachhochschulen, aber auch als Vertiefungsquelle für Ausbildungsgänge mit IT-Bezug.
Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)
by Paola Zuccolotto Marica ManiseraUsing data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an MBA player&’s shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: · One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball. · Presents tools for modelling graphs and figures to visualize the data. · Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case. · Provides the source code and data so readers can do their own analyses on NBA teams and players.
Batman Arkham Knight: The Official Novelization
by Marv WolfmanGotham City is in chaos as the criminal organizations run wild, seeking to fill the void left by the death of the Joker. When the Scarecrow threatens to unleash a toxin that will kill scores of innocents, the result is uncontrollable panic.TM & (c) DC Comics. (s15)
Bats! (Freestylers: Data Beast #2)
by Andrew Fusek PetersA short thriller that's high on suspense! This is a perfect page turner if you want to finish a story in one sitting, especially for reluctant and struggling readers. Cool, edgy computer hackers, Kiran and Roz are teens who set out to fight crime and injustice with the help of a shape-shifting data beast they've created.In Bats!, Kiran and Roz take on a firm of developers who are planning to build a shopping mall next to their school, tearing down a local habitat for endangered bats in the process. Can the data beast reveal the dodgy dealings going on behind the scenes and stop the environmental vandalism before it's too late?Reading level for this book:-ATOS: 3.3Lexile ® Measure: 460LBook Band: White
Battery-less NFC Sensors for the Internet of Things
by Martí Boada Antonio Lazaro David Girbau Ramón VillarinoThe implementation of near-field communication (NFC) technology in smartphones has grown rapidly, especially due to the use of this technology as a payment system. In addition, the ability to use the energy transmitted not only for communication, but also for feeding other devices, which together with the low cost of NFC chips and the internet connectivity of the smartphones, allows the design of battery-less RF tags with sensing capabilities, whose information can be sent to the cloud. This is of great interest in the increasing amount of IoT (Internet of Things) scenarios. This book studies the feasibility of these sensors, analyzing the different parameters that have an influence on performance and in the range of operation. It also presents techniques to increase the range and analyzes the effects of certain materials when they are close to the antenna. The design and analysis of several sensors that can be powered and read by any NFC enabled device are presented in this work.
Battle Pass Success for Fortniters: An Unofficial Guide to Battle Royale (Master Combat #6)
by Jason RichTime to upgrade to your game and get rewards with Achieve Battle Pass Success! If you didn’t think Fortnite could get any more exciting, think again. Devoted Fortnite gamers can now score incredible loot and take their gaming experience to the next level by purchasing elite Battle Passes. Achieve Battle Pass Success for Fortniters will help you work your way through all one hundred Battle Pass Tiers quickly and effectively so you can unlock valuable prizes and enjoy bonus features and incredible swag. With the valuable tips in this illustrated, information-packed guide, you&’ll be better equipped to: Tackle tier-based challenge like a pro and level up with easeUnlock all the exclusive Battle Pass prizes like exclusive outfits, back bling, emotes, weapon/vehicle skins, and other items you can&’t get any other wayGet the most out of your Battle Pass advantage Whether you play Fortnite: Battle Royale on a PC, Mac, Xbox One, PlayStation 4, Nintendo Switch, or your mobile device, new and experienced gamers alike can find the essential tips and secrets they need to achieve their gaming objectives and rake in those Battle Pass rewards.
Battle Royale: An Unofficial Fortnite Adventure
by Mathias LavorelPaul&’s a normal teenager: he likes sports, junk food, and action movies—he even wants to be in one someday. But what seems like Paul&’s big break, his very first acting role, quickly takes a turn for the worse. One minute he&’s on a festive bus heading for a new life of stardom, and the next, he&’s hurtling toward the ground and certain death. Though saved at the last minute by an unexplained parachute, things don&’t get any easier when Paul lands: he&’s lost on an unknown island, he&’s unable to speak, and every time he sees someone else, he hears strange noises and then blacks out . . . before falling from the sky again. But when a girl inexplicably saves him (and spray paints him) instead of attacking, Paul starts to learn the survival basics. Bit by bit, he must explore his surroundings, build structures, evade violent storms, unlock the mysteries of his strange island prison, and maybe—just maybe—find a way out.
Battle Storm: An Unofficial Fortnite Novel (Battle Royale)
by Cara J. StevensOn an island where everyone is a warrior, only the strong survive. The Impossibles, a squadron of inexperienced soldiers, have been recruited from across the globe, tasked with the directive to train, fight, and win the ultimate victory in Fortnite’s Battle Royale. In this series of Fortnite novelizations, follow Zane, Jax, Asha, Jin, and Blaze as they seek out adventure, uncover mysteries, and battle to become the ultimate winners of the Battle Royale. The first book in this exciting new series, Battle Storm leaps into their first exciting adventure: No one had been down to the island in person since the storm first hit, but shortly after the air turned toxic, the army began using it as a virtual training ground, building squads and pitting them against each other to see who would rise up and who would fail miserably. Some came to explore. Others came for glory. But whatever their reasons, once they were on the battlefield, it was every squad for themselves. The Impossibles, the latest recruits, have everything to lose and even more to gain by moving up the ranks, but first they will need to come together as a squad and prove themselves on the battlefield. Do they have what it takes to be the next champions, or will they risk everything only to fail and lose it all?
Battle for Loot Lake: An Unofficial Fortnite Novel (Trapped In Battle Royale #2)
by Devin HunterTwelve-year-old Grey has been sucked into a hacked, virtual reality version of Fortnite Battle Royale along with one hundred other players. To get home, he must become one of the top five players before the season ends, or he’s stuck in Fortnite for another two months. Grey and his friend have gone up in ranks and are learning how to build structures to improve their tactics. While they’re not at the top by any means, they are solidly in the middle of the pack. They aspire to be like the Top Player, who has been unbeatable for fifteen games in a row. No one knows how the Top Player does it, but everyone is chasing him. Before Grey can aspire to beat the Top Player, though, he has to get through the Rival players that are just above him. These players are threatened by him and his friend and hunt them down in every battle. Grey wants to beat them, but he can’t figure out how. How can Grey survive long enough to beat the Top Player? And will he ever escape the Fortnite world?
Battle for Time: An Unofficial Minecrafters Time Travel Adventure, Book 6 (Unofficial Minecrafters Time Travel Adve #6)
by Winter MorganPoppy built Meadow Mews first skyscraper and the opening celebration has attracted people from around The Overworld. In the middle of the festive grand opening, there is a loud explosion. The crowd falls into a crater in the ground that brings them back in time, where the Minecraft Universe is in the midst of a crisis. There is a shortage of wheat and people are going hungry. Brett studied this part of history and tries to help the people using facts from that time period. While in the past Brett discovers there were parts of Minecraft’s past that were left out of history books. The crowd from the grand opening celebration doesn’t want to help the people in the Overworld; they just want to go home. Can Brett help the farmers of the past while helping the crowd get back to the present?
Battle for the Bird: Jack Dorsey, Elon Musk and the $44 Billion Fight for Twitter's Soul
by Kurt WagnerThe gripping corporate saga of Twitter's titans and their journey towards power, innovation, and controversy.'Comprehensive . . . a definitive history' The Times'Battle For The Bird is an absolute triumph of reporting and storytelling.' Ashlee Vance, bestselling author of Elon Musk'If you want to understand how one of the most powerful social networks in history managed to be such a dramatic corporate disaster, you must read Kurt Wagner's deeply reported inside story.' Sarah Frier, author of Financial Times and McKinsey 2020 Business Book of the Year No Filter: The Inside Story of Instagram__________On October 28th, hours after completing a $44 billion takeover of Twitter, Elon Musk Tweeted to his millions of followers 'The bird is freed.'Musk's takeover of Twitter was one of the most audacious and remarkable deals in tech history. The Battle for Twitter takes readers back to the very beginning and how we reached this point. It looks at the origins of the platform, the vision of its co-founder Jack Dorsey, and how it became a battleground for ideas, controversies, and viral moments that shaped the world we live in today.With meticulous research and unprecedented access, author Kurt Wagner paints a vivid portrait of power struggles, bitter rivalries, and ground-breaking decisions that have shaped the evolution of Twitter. From Musk's audacious tweets to Dorsey's enigmatic persona, Battle for The Bird uncovers the depths of their involvement, revealing the forces that have propelled them to the forefront of global attention. In this gripping corporate saga, delve into the minds of these visionary figures as they engage in a high-stakes battle for dominance, reshaping the very fabric of social media.__________
Battle for the Bird: Jack Dorsey, Elon Musk and the $44 Billion Fight for Twitter's Soul
by Kurt WagnerOn October 28th, hours after completing a $44 billion takeover of Twitter, Elon Musk Tweeted to his millions of followers 'The bird is freed.'Musk's takeover of Twitter was one of the most audacious and remarkable deals in tech history. The Battle for Twitter takes readers back to the very beginning and how we reached this point. It looks at the origins of the platform, the vision of its co-founder Jack Dorsey, and how it became a battleground for ideas, controversies, and viral moments that shaped the world we live in today.With meticulous research and unprecedented access, author Kurt Wagner paints a vivid portrait of power struggles, bitter rivalries, and ground-breaking decisions that have shaped the evolution of Twitter. From Musk's audacious tweets to Dorsey's enigmatic persona, The Battle for Twitter uncovers the depths of their involvement, revealing the forces that have propelled them to the forefront of global attention. In this gripping corporate saga, delve into the minds of these visionary figures as they engage in a high-stakes battle for dominance, reshaping the very fabric of social media.
Battle in the Overworld: The Unofficial Minecrafters Academy Series, Book Three (Unofficial Minecrafters Academy #3)
by Winter MorganLucy and her friends’ time at Minecrafters Academy is coming to an end, and the entire school is preparing for graduation. But when an explosion shakes the campus and Lucy’s old friend Steve appears with bad news from his village, all plans to celebrate come to a halt. <p><p> The school is no longer under attack-it’s being destroyed. And it’s time for the students to use their training outside the safety of the Academy. Lucy, Jane, and Phoebe must use the skills they’ve honed in school to battle the evil force that is taking over the Overworld. But who is really behind the attacks? <p> Unexpected twists and turns lead Lucy and her friends back to Steve’s village, where they discover an unlikely opponent. With help from old friends and fellow students at the school, they stage a battle to save the Overworld. This is their last stand-do they have what it takes to keep their world safe? <p> Fans of Minecraft and magic academies will be on the edge of their seats in this final installment in the Unofficial Minecrafters Academy series.
Battlefield Forensics for Persian Gulf States: Regional and U.S. Military Weapons, Ammunition, and Headstamp Markings
by Don Mikko William BaileyBattlefield Forensics for Persian Gulf States provides an illustrative reference of various weapons, toolmarks, headstamps, and other traits in order to identify the origins of a variety of guns, casings, and ammunition that can be found in the Middle East. Various conflicts in the region have led to innumerable weapons being used throughout the years. The lead author, Don Mikko, has investigated and examined firearms related items of evidence in countless crime scenes throughout the world. As the Chief of the Firearms Branch at the United States Army Criminal Investigation Laboratory (USACIL), Fort Gillem, Georgia, he recruited, trained, and competency tested military contractors deploying to various combat related areas of the world, those providing forensic firearm and toolmark identification support to local commanders. What was learned was that various foreign weapons and ammunition were being utilized in conflicts and by opposing forces. This book educates readers on the technical data for different types of firearms, ammunition, countries of origin, proof marks, penetrator information and the typical firearm markings imparted on fired cartridge cases, such as breech-face, firing pin, ejector, and extractor markings. Forensics and biometrics within the Persian Gulf have been leveraged since the early 1990s and many of the firearms and types of ammunition covered in this handbook are addressed in an effort to assist those on the ground who are required to be able to identify such items in various scenarios. The information contained within the book has proven to be effective on the battlefield and has helped shape combat operations. This handbook will serve as a useful reference not only to assist military and contractor personnel within the various combat locations but will also prove to be beneficial for law-enforcement, crime laboratory personnel, forensic firearm and toolmark examiners, crime scene investigators, students, practitioners, and civilian personnel throughout the world.
Battute, Meme, Immagini & Storie Divertenti sui Pokemon
by Hiddenstuff EntertainmentOttieni un accesso istantaneo alle battute più divertenti sui Pokemon! Scoprirai le battute più divertenti di sempre sui Pokemon. Questo libro è pieno con alcune delle battute più divertenti del mondo sui Pokemon. Scopri i personaggi più popolari dei Pokemon con battute e meme stupidi, ridicoli e semplicemente che fanno morire dal ridere su di loro! Scarica ora la tua copia! Purchase today and discover all of the most popular jokes for mario bros!
Bausteine eines Managements Künstlicher Intelligenz: Eine Standortbestimmung (essentials)
by Walter Brenner Benjamin van Giffen Jana Koehler Tobias Fahse André SagodiAlgorithmen Künstlicher Intelligenz werden stetig weiterentwickelt und kommen in immer mehr Anwendungen in Wirtschaft und Gesellschaft zum Einsatz. Es werden professionelle Prozesse und Strukturen benötigt, um Anwendungen zu entwickeln, zu betreiben und in den betrieblichen Kontext zu integrieren. Dieses essential beschreibt die grundsätzlichen Prozesse eines Managements Künstlicher Intelligenz und zeigt Beispiele für konkreten unternehmerischen Nutzen.
Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics)
by Silvia Bozza Franco Taroni Alex BiedermannBayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics:Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information—scientific evidence—ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.This book is Open Access.
Bayesian Analysis with Python
by Tony CampbellYou will need a basic understanding of OpenStack, Linux, and Cloud computing. If you have an understanding of Linux, this book will help you leverage that knowledge in the world of OpenStack, giving you confidence to tackle most issues that may arise.
Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
by Osvaldo MartinBayesian Analysis with Python is for you if you are a data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming. Although you need not have any previous statistical knowledge, some experience in using Python is expected.
Bayesian Analysis with Python: A practical guide to probabilistic modeling
by Osvaldo MartinLearn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey FeaturesConduct Bayesian data analysis with step-by-step guidanceGain insight into a modern, practical, and computational approach to Bayesian statistical modelingEnhance your learning with best practices through sample problems and practice exercisesPurchase of the print or Kindle book includes a free PDF eBook.Book DescriptionThe third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection. In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets. By the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises.What you will learnBuild probabilistic models using PyMC and BambiAnalyze and interpret probabilistic models with ArviZAcquire the skills to sanity-check models and modify them if necessaryBuild better models with prior and posterior predictive checksLearn the advantages and caveats of hierarchical modelsCompare models and choose between alternative onesInterpret results and apply your knowledge to real-world problemsExplore common models from a unified probabilistic perspectiveApply the Bayesian framework's flexibility for probabilistic thinkingWho this book is forIf you are a student, data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory, so no previous statistical knowledge is required, although some experience in using Python and scientific libraries like NumPy is expected.
Bayesian Argumentation: The practical side of probability (Synthese Library #362)
by Frank ZenkerRelevant to, and drawing from, a range of disciplines, the chapters in this collection show the diversity, and applicability, of research in Bayesian argumentation. Together, they form a challenge to philosophers versed in both the use and criticism of Bayesian models who have largely overlooked their potential in argumentation. Selected from contributions to a multidisciplinary workshop on the topic held in Sweden in 2010, the authors count linguists and social psychologists among their number, in addition to philosophers. They analyze material that includes real-life court cases, experimental research results, and the insights gained from computer models. The volume provides, for the first time, a formal measure of subjective argument strength and argument force, robust enough to allow advocates of opposing sides of an argument to agree on the relative strengths of their supporting reasoning. With papers from leading figures such as Michael Oaksford and Ulrike Hahn, the book comprises recent research conducted at the frontiers of Bayesian argumentation and provides a multitude of examples in which these formal tools can be applied to informal argument. It signals new and impending developments in philosophy, which has seen Bayesian models deployed in formal epistemology and philosophy of science, but has yet to explore the full potential of Bayesian models as a framework in argumentation. In doing so, this revealing anthology looks destined to become a standard teaching text in years to come.
Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science & Data Analysis)
by Kevin B. Korb Ann E. NicholsonThe second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. The book also offers more coverage on the uses of causal interventions to understand and reason with causal Bayesian networks. Supplemental materials are available on the book's website.
Bayesian Cost-Effectiveness Analysis with the R package BCEA (Use R!)
by Gianluca Baio Andrea Berardi Anna HeathThe book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.
Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications
by Tshilidzi Marwala Wilson Tsakane Mongwe Rendani MbuvhaThis book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative finance. It demonstrates how advanced Bayesian machine learning techniques can be applied within financial engineering, investment portfolio management, insurance, municipal finance management as well as banking. The book covers a broad range of modelling approaches, including Bayesian neural networks, Gaussian processes and Markov Chain Monte Carlo methods. It also discusses the utility of Bayesian inference in quantitative finance and discusses future research goals in the applications of Bayesian machine learning in quantitative finance. Chapters are rooted in the theory of quantitative finance and machine learning while also outlining a range of practical considerations for implementing Bayesian techniques into real-world quantitative finance problems. This book is ideal for graduate researchers and practitioners at the intersection of machine learning and quantitative finance, as well as those working in computational statistics and computer science more broadly.