Distribution in Statistics

Learn the Normal or Gaussian distribution in statistics  eBooks & eLearning

Posted by naag at Feb. 13, 2016
Learn the Normal or Gaussian distribution in statistics

Learn the Normal or Gaussian distribution in statistics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 223 MB
Genre: eLearning | Language: English

Learn through clear lectures and hands-on solved problems how to fully understand the Normal Distribution.

Probability for Statisticians (Springer Texts in Statistics)  eBooks & eLearning

Posted by hill0 at Sept. 27, 2017
Probability for Statisticians (Springer Texts in Statistics)

Probability for Statisticians (Springer Texts in Statistics) by Galen R. Shorack
English | 2017 | ISBN: 331952206X | 534 Pages | PDF | 4.79 MB

Online Algorithms for Optimal Energy Distribution in Microgrids  eBooks & eLearning

Posted by ChrisRedfield at Nov. 13, 2017
Online Algorithms for Optimal Energy Distribution in Microgrids

Yu Wang, Shiwen Mao, R. Mark Nelms - Online Algorithms for Optimal Energy Distribution in Microgrids
Published: 2015-05-30 | ISBN: 3319171321 | PDF | 91 pages | 2.56 MB

Analytical Methods in Statistics  eBooks & eLearning

Posted by arundhati at Oct. 30, 2017
Analytical Methods in Statistics

Jaromír Antoch, "Analytical Methods in Statistics: AMISTAT, Prague, November 2015"
2017 | ISBN-10: 3319513125 | 220 pages | EPUB | 4 MB
Biased Sampling, Over-identified Parameter Problems and Beyond (ICSA Book Series in Statistics)

Biased Sampling, Over-identified Parameter Problems and Beyond (ICSA Book Series in Statistics) by Jing Qin
English | 3 July 2017 | ISBN: 9811048541 | 642 Pages | EPUB | 11.02 MB

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research,

Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition  eBooks & eLearning

Posted by First1 at Oct. 26, 2017
Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition

Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition by Richard Durrett
English | 2017 | ISBN: 3319456148 | 236 Pages | EPUB | 2.30 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing.

Enabling Content Distribution in Vehicular Ad Hoc Networks (repost)  eBooks & eLearning

Posted by libr at Oct. 24, 2017
Enabling Content Distribution in Vehicular Ad Hoc Networks (repost)

Enabling Content Distribution in Vehicular Ad Hoc Networks by Tom H. Luan, Xuemin (Sherman) Shen and Fan Bai
English | 2014 | ISBN: 1493906909 | 107 pages | PDF | 3,6 MB

An Adventure in Statistics: The Reality Enigma  eBooks & eLearning

Posted by arundhati at Oct. 23, 2017
An Adventure in Statistics: The Reality Enigma

Andy Field, "An Adventure in Statistics: The Reality Enigma"
2016 | ISBN-10: 1446210448, 1446210456 | 768 pages | PDF | 35 MB

Sales and Distribution in SAP ERP: Functionality and Configuration (Repost)  eBooks & eLearning

Posted by leonardo78 at Oct. 20, 2017
Sales and Distribution in SAP ERP: Functionality and Configuration (Repost)

Sales and Distribution in SAP ERP: Functionality and Configuration by Ashish Mohapatra
Language: English | 2010 | ISBN: 1592293298 | 517 pages | PDF | 71,8 MB

Whether you're a consultant or project lead, this is the book you need to learn how to configure and use SAP SD to optimize your sales and distribution processes and streamline your business.

Matrix Algebra: Theory, Computations and Applications in Statistics, Second Edition  eBooks & eLearning

Posted by AvaxGenius at Oct. 12, 2017
Matrix Algebra: Theory, Computations and Applications in Statistics, Second Edition

Matrix Algebra: Theory, Computations and Applications in Statistics, Second Edition By James E. Gentle
English | PDF,EPUB | 2017 | 664 Pages | ISBN : 3319648667 | 12.91 MB

This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides essential updates and comprehensive coverage on critical topics in mathematics in data science and in statistical theory.