Concise Course in Statistical Inference

All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) by Larry Wasserman [Repost]

All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) by Larry Wasserman
English | Sep 17, 2004 | ISBN: 0387402721 | 459 Pages | PDF | 8 MB

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.
All of Statistics: A Concise Course in Statistical Inference

Larry Wasserman, "All of Statistics: A Concise Course in Statistical Inference"
English | 2004 | ISBN: 0387402721 | PDF | pages: 455 | 3,9 mb

Differential Geometry in Statistical Inference  

Posted by step778 at Aug. 26, 2015
Differential Geometry in Statistical Inference

Shun-ichi Amari, O. E. Barndorff-Nielsen, "Differential Geometry in Statistical Inference"
1987 | pages: 241 | ISBN: 0940600129 | DJVU | 1,5 mb

A First Course in Statistical Programming with R  

Posted by arundhati at Aug. 17, 2015
A First Course in Statistical Programming with R

W. John Braun, Duncan J. Murdoch, "A First Course in Statistical Programming with R"
2008 | ISBN-10: 0521872650, 0521694248 | 174 pages | PDF | 1 MB

A Concise Course in Algebraic Topology  

Posted by interes at Oct. 24, 2014
A Concise Course in Algebraic Topology

A Concise Course in Algebraic Topology by J. P. May
English | 1999 | ISBN: 0226511839 | 254 pages | PDF | 1,6 MB

Algebraic topology is a basic part of modern mathematics, and some knowledge of this area is indispensable for any advanced work relating to geometry, including topology itself, differential geometry, algebraic geometry, and Lie groups.

A Modern Course in Statistical Physics  

Posted by AlenMiler at Oct. 13, 2014
A Modern Course in Statistical Physics

A Modern Course in Statistical Physics by L. E. Reichl
Wiley-Interscience; 2 edition | March 13, 1998 | English | ISBN: 0471595209 | 842 pages | DJVU | 8 MB

All the tools necessary to understand the concepts underlying today's statistical physics. A Modern Course in Statistical Physics goes beyond traditional textbook topics and incorporates contemporary research into a basic course on statistical mechanics.
A Concise Course in Advanced Level Statistics: With Worked Examples, 4th edition

A Concise Course in Advanced Level Statistics: With Worked Examples, 4th edition
by J. Crawshaw, J. Chambers
English | 2001 | ISBN: 074875475X | 704 pages | PDF | 39.23 MB
"Exercises in Statistical Inference with detailed solutions" by Robert Jonsson

"Exercises in Statistical Inference with detailed solutions" by Robert Jonsson
RoJo, BoBoCoAe | 2014 | ISBN: 8740307522 9788740307528 | 198 pages | PDF | 10 MB

This volume is dedicated to statistical inference - a process of drawing general conclusions from data in a specific sample. The present book differs from the latter since it focuses on problem solving and only a minimum of the theory needed is presented.
A First Course in Statistics for Signal Analysis, 2 Edition (repost)

A First Course in Statistics for Signal Analysis, 2 Edition by Wojbor A. Woyczynski
English | 2010 | ISBN: 0817681000 | 261 pages | PDF | 3,3 MB

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation.
A First Course in Statistics for Signal Analysis, 2 Edition (repost)

Wojbor A. Woyczynski, "A First Course in Statistics for Signal Analysis, 2 Edition"
2010 | ISBN: 0817681000 | 261 pages | PDF | 3,3 MB

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.