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Probability Theory
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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:
John E. Freund
Title of the Book:
John E. Freund's Mathematical Statistics With Applications
Publisher:
Pearson Education Limited ,india
Year:
2013
Edition:
8
ISBN:
978-9332519053
Contributor Name:
Arpit Dubey, M.Sc., Mathematics, Indian institute of technology kharagpur
Reviewer:
R TBC Team
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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. Introduction
2. probability
3. Probability Distributions and Probability Densities
4. Mathematical Expectation
5. Special Probability Distributions
6. Special Probability Densities
7. Functions of Random Variables
8. Sampling Distributions
9. Decision Theory
10. Point Estimation
11. Interval Estimation
12. Hypothesis Testing
13. Tests of Hypothesis Involving Means Variances and Proportions
14. Regression and Correlation
Example No. (Caption):
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