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Statistics
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Probability Theory
Basics of Statistics
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Title of the book
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Elementary Statistics: A Step by Step Approach (Written by Allan G. Bluman)
Probability and Statistics for Engineering and the Sciences (Written by Jay L Devore)
Introduction to Probability and Statistics (Written by William Mendenhall, Robert J Beaver, and Barbara M Beaver)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
A First Course in Probability (Written by Sheldon Ross)
Fundamentals of Mathematical Statistics (Written by S.C. Gupta, V.K. Kapoor)
An Introduction to Statistical Methods and Data Analysis (Written by R Lyman Ott and Michael Longnecker)
Statistics and Probability Theory (Written by Dr. K.C. Jain and Dr. M.L. Rawat)
Introduction to Probability (Written by Dimitri P. Bertsekas and John N. Tsitsiklis)
Business Statistics for Contemporary Decision Making (Written by Ken Black)
Introductory Statistics (Written by Sheldon M. Ross)
Introductory Statistics (Written by Douglas S Shafer and Zhiyi Zhang)
Managerial Statistics (Written by Gerald Keller)
Introduction to Mathematical Statistics (Written by Robert V. Hogg, Joseph W. Mckean, Allen T. Craig)
Mathematical Statistics and Data Analysis (Written by John A. Rice)
John E. Freund's Mathematical Statistics With Applications (Written by John E. Freund)
Probability And Statistics (Written by Morris H. Degroot, Mark J. Schervish)
About the Book
About the Contributor
Author:
Dr. K.C. Jain and Dr. M.L. Rawat
Title of the Book:
Statistics and Probability Theory
Publisher:
College Book Centre, Jaipur
Year:
2013
Edition:
10
ISBN:
9788190548229
Contributor Name:
Diksha Bothra, B.Tech., Computer Science and Engineering, POORNIMA COLLEGE OF ENGINEERING
Reviewer:
R TBC Team
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(Download the R codes for all the solved examples)
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(Download the PDF file containing R codes for all the solved examples)
The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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1. Probability
2. Random Variables
3. Expectations Probability Generating Functions and Random Process
4. Discrete Probability Distribution
5. Continuous Probability Distribution
6. Correlation and Regression
7. Queuing Theory
8. Discrete Parameter Markov Chains and Queuing Model M G 1 infinite General Discipline
Example No. (Caption):
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