All of Statistics Book
Score: 4
From 1 Ratings

All of Statistics

  • Author : Larry Wasserman
  • Publisher : Springer Science & Business Media
  • File Size : 17,5 Mb
  • Release Date : 2013-12-11
  • Genre: Mathematics
  • Pages : 442
  • ISBN 10 : 9780387217369
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Download All of Statistics Book in PDF and ePub

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

All of Statistics Book
Score: 3
From 4 Ratings

All of Statistics

  • Author : Larry Wasserman
  • Publisher : Springer Science & Business Media
  • File Size : 12,5 Mb
  • Release Date : 2004-09-17
  • Genre: Computers
  • Pages : 468
  • ISBN 10 : 0387402721
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Download All of Statistics Book in PDF and ePub

This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal–Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.

All of Statistics Book

All of Statistics

  • Author : Larry Wasserman
  • Publisher : Springer
  • File Size : 19,7 Mb
  • Release Date : 2010-12-01
  • Genre: Mathematics
  • Pages : 442
  • ISBN 10 : 1441923225
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Download All of Statistics Book in PDF and ePub

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con ducted in statistics departments while data mining and machine learning re search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo rithms are more scalable than statisticians ever thought possible. Formal sta tistical theory is more pervasive than computer scientists had realized.

All of Nonparametric Statistics Book

All of Nonparametric Statistics

  • Author : Larry Wasserman
  • Publisher : Springer Science & Business Media
  • File Size : 18,9 Mb
  • Release Date : 2006-09-10
  • Genre: Mathematics
  • Pages : 270
  • ISBN 10 : 9780387306230
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Download All of Nonparametric Statistics Book in PDF and ePub

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.

The Humongous Book of Statistics Problems Book
Score: 4
From 1 Ratings

The Humongous Book of Statistics Problems

  • Author : Robert Donnelly
  • Publisher : Penguin
  • File Size : 15,9 Mb
  • Release Date : 2009-12-01
  • Genre: Mathematics
  • Pages : 733
  • ISBN 10 : 9781101151396
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Download The Humongous Book of Statistics Problems Book in PDF and ePub

Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. - With annotated notes and explanations of missing steps throughout, like no other statistics workbook on the market - An award-winning former math teacher whose website (calculus-help.com) reaches thousands every month, providing exposure for all his books

Introductory Statistics Book
Score: 1
From 1 Ratings

Introductory Statistics

  • Author : Barbara Illowsky
  • Publisher : Unknown
  • File Size : 17,9 Mb
  • Release Date : 2017-12-19
  • Genre: Education
  • Pages : 906
  • ISBN 10 : 9888407309
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Download Introductory Statistics Book in PDF and ePub

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Coverage and Scope Chapter 1 Sampling and Data Chapter 2 Descriptive Statistics Chapter 3 Probability Topics Chapter 4 Discrete Random Variables Chapter 5 Continuous Random Variables Chapter 6 The Normal Distribution Chapter 7 The Central Limit Theorem Chapter 8 Confidence Intervals Chapter 9 Hypothesis Testing with One Sample Chapter 10 Hypothesis Testing with Two Samples Chapter 11 The Chi-Square Distribution Chapter 12 Linear Regression and Correlation Chapter 13 F Distribution and One-Way ANOVA

An Introduction to Statistical Learning Book
Score: 5
From 1 Ratings

An Introduction to Statistical Learning

  • Author : Gareth James
  • Publisher : Springer Science & Business Media
  • File Size : 19,8 Mb
  • Release Date : 2013-06-24
  • Genre: Mathematics
  • Pages : 426
  • ISBN 10 : 9781461471387
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Download An Introduction to Statistical Learning Book in PDF and ePub

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Foundations of Statistics for Data Scientists Book
Score: 1
From 1 Ratings

Foundations of Statistics for Data Scientists

  • Author : Alan Agresti
  • Publisher : CRC Press
  • File Size : 8,6 Mb
  • Release Date : 2021-11-22
  • Genre: Business & Economics
  • Pages : 486
  • ISBN 10 : 9781000462913
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Download Foundations of Statistics for Data Scientists Book in PDF and ePub

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.

Applying and Interpreting Statistics Book

Applying and Interpreting Statistics

  • Author : Glen McPherson
  • Publisher : Springer Science & Business Media
  • File Size : 13,9 Mb
  • Release Date : 2013-06-29
  • Genre: Mathematics
  • Pages : 641
  • ISBN 10 : 9781475734355
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This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate statistical methodology. The Second Edition retains the unique feature of being written from the users' perspective; it connects statistical models and methods to investigative questions and background information, and connects statistical results with interpretations in plain English. In keeping with this approach, methods are grouped by usage rather than by commonality of statistical methodology.

Theory of Statistics Book

Theory of Statistics

  • Author : Mark J. Schervish
  • Publisher : Springer Science & Business Media
  • File Size : 12,7 Mb
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 716
  • ISBN 10 : 9781461242505
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Download Theory of Statistics Book in PDF and ePub

The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.

Online Statistics Education Book

Online Statistics Education

  • Author : David M Lane
  • Publisher : Unknown
  • File Size : 15,5 Mb
  • Release Date : 2014-12-02
  • Genre: Uncategoriezed
  • Pages : 406
  • ISBN 10 : 1687894256
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Download Online Statistics Education Book in PDF and ePub

Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Philosophy of Statistics Book

Philosophy of Statistics

  • Author : Anonim
  • Publisher : Elsevier
  • File Size : 5,7 Mb
  • Release Date : 2011-05-31
  • Genre: Philosophy
  • Pages : 1260
  • ISBN 10 : 0080930964
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Download Philosophy of Statistics Book in PDF and ePub

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers’ favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue

OpenIntro Statistics Book

OpenIntro Statistics

  • Author : David Diez
  • Publisher : Unknown
  • File Size : 20,9 Mb
  • Release Date : 2015-07-02
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1943450048
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Download OpenIntro Statistics Book in PDF and ePub

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Statistics for Mathematicians Book

Statistics for Mathematicians

  • Author : Victor M. Panaretos
  • Publisher : Birkhäuser
  • File Size : 6,7 Mb
  • Release Date : 2016-06-01
  • Genre: Mathematics
  • Pages : 177
  • ISBN 10 : 9783319283418
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Download Statistics for Mathematicians Book in PDF and ePub

This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.

Think Stats Book

Think Stats

  • Author : Allen B. Downey
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 14,5 Mb
  • Release Date : 2011-07-01
  • Genre: Computers
  • Pages : 137
  • ISBN 10 : 9781449313104
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Download Think Stats Book in PDF and ePub

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data