Posted by **Willson** at Dec. 1, 2016

English | 2015 | ISBN: 1482219751 | 524 pages | PDF | 9.6 MB

Posted by **house23** at Nov. 5, 2016

MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.

Posted by **roxul** at Oct. 1, 2016

English | ISBN: 0470280735 | 2008 | 416 pages | PDF | 11 MB

Posted by **fdts** at Jan. 12, 2016

by Eric A. Suess, Bruce E. Trumbo

English | 2010 | ISBN: 038740273X | 307 pages | PDF | 10.64 MB

Posted by **Underaglassmoon** at Dec. 29, 2015

Springer | Mathematics | January 27, 2016 | ISBN-10: 3319258249 | 527 pages | pdf | 8.43 mb

Editors: Podolskij, M., Stelzer, R., Thorbjørnsen, S., Veraart, A.E.D. (Eds.)

Presents fascinating current research results regarding the theory of probability, statistics, as well as their applications

Includes contributions by international experts

Posted by **fdts** at Dec. 29, 2015

by Geoffrey R. Grimmett, David R. Stirzaker

English | 2001 | ISBN: 0198572212 | 448 pages | PDF | 7.03 MB

Posted by **arundhati** at July 21, 2015

2008 | ISBN-10: 1420065211 | 384 pages | PDF | 4 MB

Posted by **BUGSY** at May 21, 2015

English | Mar 1, 1989 | ISBN: 0412314002 | 262 Pages | PDF | 7 MB

This book sets out in detail mathematical techniques valuable for giving useful approximate solutions to a wide range of problems in statistical theory and methods as well as in applied probability.

Posted by **BUGSY** at May 1, 2015

English | Nov 6, 2008 | ISBN: 0521345359, 0521089786 | 299 Pages | PDF | 11 MB

The classical subjects of geometric probability and integral geometry, and the more modern one of stochastic geometry, are developed here in a novel way to provide a framework in which they can be studied. The author focuses on factorization properties of measures and probabilities implied by the assumption of their invariance with respect to a group, in order to investigate nontrivial factors.

Posted by **tanas.olesya** at Dec. 9, 2014

English | August 2, 2001 | ISBN: 0198572239 | 608 pages | DJVU | 3 MB

The third edition of this text gives a rigorous introduction to probability theory and the discussion of the most important random processes in some depth. It includes various topics which are suitable for undergraduate courses, but are not routinely taught. It is suitable to the beginner, and should provide a taste and encouragement for more advanced work.