عنوان

All of statistics :

شابک

0387217363

شابک

1280189665

شابک

1441923225

شابک

6610189668

شابک

9780387217369

شابک

9781280189661

شابک

9781441923226

شابک

9786610189663

شابک اشتباه

0387402721

شابک اشتباه

9780387402727

شماره

b623506

عنوان اصلي

All of statistics :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a concise course in statistical inference /

نام نخستين پديدآور

Larry Wasserman.

محل نشرو پخش و غیره

New York :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

©2004.

نام خاص و کميت اثر

1 online resource

عنوان فروست

Springer texts in statistics

متن يادداشت

Includes bibliographical references (pages 423-430) and index.

متن يادداشت

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 -- Loglinear Models -- Nonparametric Curve Estimation -- Smoothing Using Orthogonal Functions -- Classification -- Probability Redux: Stochastic Processes -- Simulation Methods.

بدون عنوان

0

متن يادداشت

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 MontrealStatistical 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.

منبع سفارش / آدرس اشتراک

MIL

شماره انبار

18966

عنوان

All of statistics.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Statistics as Topic.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Mathematical Statistics.

موضوع مستند نشده

Mathematics.

موضوع مستند نشده

Physical Sciences & Mathematics.

موضوع مستند نشده

MAT006000.

موضوع مستند نشده

PBKS.

شماره

ويراست

شماره رده

نشانه اثر

شماره رده

مستند نام اشخاص تاييد نشده

Wasserman, Larry,1959-

تاريخ عمليات

20200617082535.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y