| Document Type
|
:
|
BL
|
| Record Number
|
:
|
809491
|
| Doc. No
|
:
|
b623507
|
| Main Entry
|
:
|
Wasserman, Larry,1959-
|
| Title & Author
|
:
|
All of statistics : : a concise course in statistical inference /\ Larry Wasserman.
|
| Edition Statement
|
:
|
Corrected second printing.
|
| Series Statement
|
:
|
Springer texts in statistics
|
| Page. NO
|
:
|
xix, 442 pages :: illustrations ;; 25 cm.
|
| ISBN
|
:
|
9781441923226
|
|
|
:
|
: 1441923225
|
|
|
:
|
: 9780387402727
|
|
|
:
|
: 0387402721
|
|
|
:
|
9780387217369
|
|
|
:
|
0387217363
|
| Notes
|
:
|
Originally published: 2003 ; this edition contains: Corrected second printing, 2005.
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references (pages 423-430) and index.
|
| Contents
|
:
|
Probability -- 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 -- Log-linear models -- Nonparametric curve estimation -- Smoothing using orthogonal functions -- Classification -- Probability redux : stochastic processes -- Simulation methods.
|
| Abstract
|
:
|
"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 levels"--Page 4 of cover.
|
| Subject
|
:
|
Mathematical statistics.
|
| Subject
|
:
|
Mathematical statistics.
|
| Dewey Classification
|
:
|
519.5
|
| LC Classification
|
:
|
QA276.12.W37 2010
|
| Parallel Title
|
:
|
Concise course in statistical inference
|