## All of Statistics

#### A Concise Course in Statistical Inference

**Author(s):**

Larry Wasserman

**Publisher:**

Springer

**Pages:**442

**Further Actions:**

**Categories:**

### AVAILABLE FORMATS

Paperback - 9781441923226

02 December 2010

* $99.00*

**In stock**

Hardcover - 9780387402727

16 January 2004

* $99.00*

Free Shipping

**In stock**

Ebook - 9780387217369

11 December 2013

* $74.99*

**In stock**

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...

Show MoreTaken 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.

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Provides a concise introduction to a larger number of topics than are usually included in a graduate-level mathematical statistics class

Random Variables

Expectation

Inequalities

Convergence of Random Variables

Models, Statistical Inference and Learning

Estimating the CDF and Statistical Functionals

The Bootstrap

Parametric Inference

Hypothesis Testing and p-values

Bayesian Inference

Statistical Decision Theory

Linear and Logistic Regression

Multivariate Models

Inference about Independence

Causal Inference

Directed Graphs and Conditional Independence

Undirected Graphs

Loglinear Models

Nonparametric Curve Estimation

Smoothing Using Orthogonal Functions

Classification

Probability Redux: Stochastic Processes

Simulation Methods.

Winner of the 2005 DeGroot Prize.

From the reviews:

"Presuming no previous background in statistics and described by the author as "demanding" yet "understandable because the material is as intuitive as possible" (p. viii), this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters."Technometrics, August 2004

"This book should be seriously considered as a text for a theoretical statsitics course for non-majors, and perhaps even for majors...The coverage of emerging and important topics is timely and welcomed...you should have this book on your desk as a reference to nothing less than 'All of Statistics.'"Biometrics, December 2004

"AlthoughAll of Statisticsis an ambitious title, this book is a concise guide, as the subtitle suggests....I recommend it to anyone who has an interest in learning something new about statistical inference. There is something here for everyone."The American Statistician, May 2005

"As the title of the book suggests, â€˜All of Statisticsâ€™ covers a wide range of statistical topics. â€¦ The number of topics covered in this book is vast â€¦ . The greatest strength of this book is as a first point of reference for a wide range of statistical methods. â€¦ I would recommend this book as a useful and interesting introduction to a large number of statistical topics for non-statisticians and also as a useful reference book for practicing statisticians." (Matthew J. Langdon, Journal of Applied Statistics, Vol. 32 (1), January, 2005)

"This book was written specifically to give students a quick but sound understanding of modern statistics, and its coverage is very wide. â€¦ The book is extremely well done â€¦ ." (N. R. Draper, Short Book Reviews, Vol. 24 (2), 2004)

"This is most definitely a book about mathematical statistics. It is full of theorems and proofs â€¦ . Presuming no previous background in statistics â€¦ this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters." (Eric R. Ziegel, Technometrics, Vol. 46 (3), August, 2004)

"The author points out that this book is for those who wish to learn probability and statistics quickly â€¦ . this book will serve as a guideline for instructors as to what should constitute a basic education in modern statistics. It introduces many modern topics â€¦ . Adequate references are provided at the end of each chapter which the instructor will be able to use profitably â€¦ ." (Arup Bose, Sankhya, Vol. 66 (3), 2004)

"The amount of material that is covered in this book is impressive. â€¦ the explanations are generally clear and the wide range of techniques that are discussed makes it possible to include a diverse set of examples â€¦ . The worked examples are complemented with numerous theoretical and practical exercises â€¦ . is a very useful overview of many areas of modern statistics and as such will be very useful to readers who require such a survey. Library copies would also see plenty of use." (Stuart Barber, Journal of the Royal Statistical Society, Series Aâ€“ Statistics in Society, Vol. 168 (1), 2005)