statistics data

すべて表示  amazonのみ表示楽天市場のみ表示
Naked Statistics: Stripping the Dread from the Data NAKED STATISTICS Charles WheelanNaked Statistics: Stripping the Dread from the Data (English Edition)この世で一番おもしろい統計学 誰も「データ」でダマされなくなるかもしれない16講 α / 原タイトル:THE CARTOON INTRODUCTION TO STATISTICS 本/雑誌 (単行本 ムック) / アラン ダブニー/著 グレディ クライン/イラスト 山形浩生/訳Spatial Statistics for Data Science: Theory and Practice with R (Chapman Hall/CRC Data Science Series) (English Edition)The Art of Statistics Learning from Data【電子書籍】 David SpiegelhalterAn Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report【電子書籍】 Lisa DanielsPsychological Statistics Data Analysis with ChatGPT : GPTs “PsychStatsAI” (Vol. Book 1) (English Edition)An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications(単行本)Numbers: B2 (Collins Academic Skills) (English Edition)【中古-非常に良い】 Vol.III Order statistics based on weakly dependent dataA Cool Guide to Statistics and Data Science (English Edition)Statistics With R Solving Problems Using Real-World Data【電子書籍】 Jenine K. HarrisThe Art of Statistics: Learning from Data (Pelican Books) (English Edition)Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python (English Edition)Mathematical Statistics and Data AnalysisIntroduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in RPractical Statistics for Data Scientists 50 Essential Concepts Using R and Python【電子書籍】 Peter BruceApplied Spatial Statistics and Econometrics Data Analysis in R【電子書籍】Statistics Applied With Excel Data Analysis Is (Not) an Art【電子書籍】 Franz KronthalerStatistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】 Yoni NazarathyStatistics and Analysis of Scientific Data【電子書籍】 Massimiliano BonamenteStandard Deviations the truth about flawed statistics, AI and Big Data【電子書籍】 Gary SmithBig Data for Twenty-First-Century Economic Statistics【電子書籍】The Art of Statistics How to Learn from Data【電子書籍】 David SpiegelhalterBecoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning【電子書籍】 Alex J. GutmanNaked Statistics: Stripping the Dread from the Data【電子書籍】 Charles Wheelan【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications(単行本)R Cookbook Proven Recipes for Data Analysis, Statistics, and Graphics【電子書籍】 JD LongThe Data Detective Ten Easy Rules to Make Sense of Statistics【電子書籍】 Tim Harford
 

商品の説明

  • NAKED STATISTICS Charles Wheelan W W NORTON & CO2014 Paperback English ISBN:9780393347777 洋書 Computers & Science(コンピューター&科学) Mathematics
  •  

    商品の説明

  • ご注文前に必ずご確認ください<商品説明>もうp値も標準偏差も怖くない!過激なツッコミとユーモアあふれるマンガで統計学だってこんなにわかりやすくなる!ビッグデータ時代を生き残るための最強の入門書。<収録内容>1 統計を集めよう(はじめに—どうして統計学が必要なの?数字—あなたを惑わす身近な存在無作為に集めた生データ—主観という偏見を取り去るべし並べ替え(ソート)—グラフはデータを「見える化」するためにある探偵仕事と標準偏差—標本を見極めるための「4種の神器」化け物じみたまちがい—こっそり潜む「変数」に気をつけろ!標本から母集団へ—「直接はかれないもの」をはかるにはどうすればいい?)2 パラメータを探そう(正規分布と中心極限定理—データは「釣り鐘形」になる(長い目で見れば)中心極限定理と確率—正規分布が便利な2つの理由推定—たった1つの無作為標本からヒントを引き出すための「お絵かき」信頼度—「しっぽ」を切れば、ほしい数値が見えてくる信頼度の推定を応用しよう—「憎しみ」を数直線にのせて仮説検定とp値—「当てずっぽう」で見えてくる真実もある仮説検定を応用しよう—その新しくて魅力的なアイデアは正しいの?もっと学べば何がわかる?—...
  •  

    商品の説明

  • <p><strong>'A statistical national treasure' Jeremy Vine, BBC Radio 2</strong></p> <p><strong>'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force</strong>' <em>Popular Science</em></p> <p>Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? <strong>David Spiegelhalter</strong> reveals the answers to these and many other questions - questions that can only be addressed using statistical science.</p> <p>Statistics has played a leading role in our scientific understanding of the world for centuries, yet <strong>we are all familiar with the way statistical claims can be sensationalised</strong>, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of <strong>statistical literacy is more important than ever</strong>.</p> <p...
  •  

    商品の説明

  • <p><em><strong>An Introduction to Statistics and Data Analysis Using Stata?: From Research Design to Final Report, Second Edition</strong></em> provides an integrated approach to research methods, statistics and data analysis, and interpretation of results in Stata. Drawing on their combined 25 years of experience teaching statistics and research methods, authors Lisa Daniels and Nicholas Minot frame data analysis within the research processーidentifying gaps in the literature, examining the theory, developing research questions, designing a questionnaire or using secondary data, analyzing the data, and writing a research paperーso readers better understand the context of data analysis. Throughout, the text focuses on documenting and communicating results so students can produce a finished report or article by the end of their courses.</p> <p>The <strong>Second Edition</strong> has been thoroughly updated with all new articles and dataーincluding coverage of ChatGP...
  •  

    商品の説明

  • ◆◆◆非常にきれいな状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385355276
  •  

    商品の説明

  • 【メーカー名】三省堂【メーカー型番】【ブランド名】掲載画像は全てイメージです。実際の商品とは色味等異なる場合がございますのでご了承ください。【 ご注文からお届けまで 】・ご注文 :ご注文は24時間受け付けております。・注文確認:当店より注文確認メールを送信いたします。・入金確認:ご決済の承認が完了した翌日よりお届けまで2〜7営業日前後となります。 ※海外在庫品の場合は2〜4週間程度かかる場合がございます。 ※納期に変更が生じた際は別途メールにてご確認メールをお送りさせて頂きます。 ※お急ぎの場合は事前にお問い合わせください。・商品発送:出荷後に配送業者と追跡番号等をメールにてご案内致します。 ※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。 ※ご注文後、当店よりご注文内容についてご確認のメールをする場合がございます。期日までにご返信が無い場合キャンセルとさせて頂く場合がございますので予めご了承下さい。【 在庫切れについて 】他モールとの併売品の為、在庫反映が遅れてしまう場合がございます。完売の際はメールにてご連絡させて頂きますのでご了承ください。【 初期不良のご対応について 】...
  •  

    商品の説明

  • <p><em><strong>Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA)</strong></em></p> <p>"<strong>Statistics with R</strong> is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text."</p> <p>ーDavid A.M. Peterson, <em>Department of Political Science, Iowa State University</em></p> <p>Drawing on examples from across the social and behavioral sciences, <strong>Statistics with R: Solving Problems Using Real-World Data</strong> introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters. Inspired by the programming group "R Ladies," the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylin...
  •  

    商品の説明

  • <p>Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.</p> <p>Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.</p> <p>With this book, you’ll learn:</p> <ul> <li>Why exploratory data analysis is a key preliminary step in data science</li> <li>How random sampling can reduce bias and yield a higher-quality dataset, even with big data</li> <li>Ho...
  •  

    商品の説明

  • <p>This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises.</p> <p>This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
  •  

    商品の説明

  • <p>This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art!</p> <p>The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets.</p> <p>Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform.</p> <p>This book is a translation of the original German 2nd edi...
  •  

    商品の説明

  • <p>This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics.</p> <p>The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than...
  •  

    商品の説明

  • <p>The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains.</p> <p>Features new to this edition include:</p> <p>? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets.<br /> ? a new chapter on the various measures of the mean including logarithmic averages.<br /> ? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors.<br /> ? a new case study and additional worked examples.<br /> ? mathematical derivations and theoretical...
  •  

    商品の説明

  • <p>Did you know that chicken eggs can influence how computers generate random events? Or that humans can postpone death until after important ceremonial occasions? Or live three to five years longer if they have positive initials, like ACE?</p> <p>All these 'facts' have been presented with a straight face by researchers and backed up with convincing statistics. In <em>Standard Deviations</em>, economics professor Gary Smith walks us through the various tricks and traps we so often fall into. Today, data is so plentiful and our reliance on computer analysis and AI so entrenched that researchers spend precious little time distinguishing between good, meaningful deductions and rubbish. Not only do others use data to fool us, we fool ourselves.</p> <p>Drawing on breakthrough research in behavioural economics by luminaries like Daniel Kahneman and Dan Ariely, and taking to task some of the conclusions of <em>Freakonomics</em>, <em>Standard Deviations</em> demystifie...
  •  

    商品の説明

  • <p><strong>The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement.</strong></p> <p>The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Dataーsuch as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellersーhas changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. T...
  •  

    商品の説明

  • <p><strong>In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems.</strong></p> <p>Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders.</p> <p>In <em>The Art of Statistics</em>, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on ...
  •  

    商品の説明

  • <p><strong>"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."</strong><br /> Thomas H. Davenport, Research Fellow, Author of <em>Competing on Analytics</em>, <em>Big Data @ Work</em>, and <em>The AI Advantage</em></p> <p><strong>You've heard the hype around data - now get the facts.</strong></p> <p>In <em>Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning</em>, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.</p> <p>You'll learn how to:</p> <ul> <li>Think statistically and understand the role variation plays in your life and decision making</li> <li>Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace</li> <li>Understan...
  •  

    商品の説明

  • <p>The best-selling author of <em>Naked Economics</em> defies the odds with a book about statistics that you’ll welcome and enjoy.</p> <p>Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in <em>Naked Statistics</em>, the right data and a few well-chosen statistical tools can help us answer these questions and more.</p> <p>For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysi...
  •  

    商品の説明

  • ◆◆◆おおむね良好な状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385355276
  •  

    商品の説明

  • <p>Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.</p> <p>Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, <em>R Cookbook</em> will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.</p> <ul> <li>Create vectors, handle variables, and perform basic functions</li> <li>Simplify data input and output</li> <li>Tackle data structures such as matrices, lists, factors, and data...
  •  

    商品の説明

  • <p><em><em>From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics</em>.</em>**</p> <p>Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in <em>The Data Detective</em>. We shouldn’t be suspicious of statisticsーwe need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearlyーunderstanding how our own preconceptions lead us astrayーstatistics can point to ways we can live better and work smarter.</p> <p>As “perhaps the best popular economics writer in the world” (<em>New Statesman</em>), Tim Harford is an expert at taking complicated ideas and untangling them for mill...
  • 上に戻る