Tag: Statistics

Free Download Statistics with R
by Stinerock, Robert
English | 2023 | ISBN: 1529753538 | 448 pages | True EPUB | 20.11 MB

Free Download Statistics And Experimental Design For Psychologists: A Model Comparison Approach
English | 2018 | ISBN: 178634064X | 471 Pages | PDF (True) | 16 MB
This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam’s principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method.

Free Download Probability and Statistics for STEM: A Course in One Semester (Synthesis Lectures on Mathematics & Statistics) by Emmanuel N. Barron, John G. Del Greco
English | April 2, 2024 | ISBN: 3031389840 | 306 pages | MOBI | 56 Mb
This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts.

Free Download Rongpeng Li, "Essential Statistics for Non-STEM Data Analysts: Get to grips with the statistics and math knowledge needed to enter the world of data science with Python"
English | 2020 | pages: 394 | ISBN: 1838984844 | EPUB | 9,3 mb
Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programming

Free Download Fundamentals of Mathematical Statistics
English | 2023 | ISBN: 1032223820 | 336 Pages | EPUB (True) | 1 MB
Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics-statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study.

Free Download Applied Statistics: Methods Using R
English | 2024 | ISBN: 3662700735 | 1056 Pages | PDF (True) | 23 MB
This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all necessary methods for targeted and careful data collection, analysis, and evaluation. In addition to offering advice and recommendations on study planning and analysis, numerous examples, cross-references, further references and a detailed index provide a comprehensive approach to statistics. The consistent use of the freely available programming language R further facilitates the entry for curious users and practitioners.

Free Download Statistics for Data Science and Analytics by Peter C. Bruce, Peter Gedeck, Janet Dobbins
English | September 4th, 2024 | ISBN: 139425380X | 384 pages | True PDF | 10.90 MB
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration

Free Download Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences by Sujit K. Sahu
English | April 2, 2024 | ISBN: 3031378644 | 574 pages | MOBI | 76 Mb
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners. The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inference, covering point and interval estimation, hypothesis testing, and Bayesian inference. This part is intentionally less technical, making it accessible to readers without an extensive mathematical background. Part IV addresses advanced probability and statistical distribution theory, assuming some familiarity with (or concurrent study of) mathematical methods like advanced calculus and linear algebra. Finally, Part V focuses on advanced statistical modelling using simple and multiple regression and analysis of variance, laying the foundation for further studies in machine learning and data science applicable to various data and decision analytics contexts. Based on years of teaching experience, this textbook includes numerousexercises and makes extensive use of R, making it ideal for year-long data science modules and courses. In addition to university courses, the book amply covers the syllabus for the Actuarial Statistics 1 examination of the Institute and Faculty of Actuaries in London. It also provides a solid foundation for postgraduate studies in statistics and probability, or a reliable reference for statistics.

Free Download David Bowles, Brian Jefferson, John Rayneau,, "Edexcel Further Maths: Further Statistics 2 Student Book "
English | ISBN: 0198415281 | 2018 | pages | PDF | 33 MB
This Student Book provides full support for the Further Statistics 2 paper in the Edexcel A Level exams. Throughout the book, the explanations are clear and concise, with an emphasis on visual presentation, abundant worked examples and learning by doing. In every chapter, sequential exercises allow students to practise first their fluency and skills, and then the new exam-style problem-solving and modelling questions. The problem-solving is supported by Strategy boxes, which provide guidance on how best to approach these questions. Short answers are given in the back, while full step-by-step solutions to every single question can be found online. This Student Book belongs to a series of 10 OUP Student Books covering all the compulsory and optional papers for Edexcel Further Maths AS and A Level.

Free Download Case Studies in Bayesian Statistics, Volume II By Emery N. Brown, Adam Sapirstein (auth.), Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla (eds.)
1995 | 370 Pages | ISBN: 0387945660 | PDF | 27 MB
Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.