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Description
This book was written for an introductory one-semester or two-quarter course in probability and statistics for students in engineering and applied sciences. No previous knowledge of probability or statistics is presumed but a good understanding of calculus is a prerequisite for the material.
Content:-
PREFACE
1. INTRODUCTION
PART A: PROBABILITY AND RANDOM VARIABLES
2. BASIC PROBABILITY CONCEPTS
3. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS
4. EXPECTATIONS AND MOMENTS
5. FUNCTIONS OF RANDOM VARIABLES
6. SOME IMPORTANT DISCRETE DISTRIBUTIONS
7. SOME IMPORTANT CONTINUOUS DISTRIBUTIONS
PART B: STATISTICAL INFERENCE, PARAMETER ESTIMATION, AND MODEL VERIFICATION
8. OBSERVED DATA AND GRAPHICAL REPRESENTATION
9. PARAMETER ESTIMATION
10. MODEL VERIFICATION
11. LINEAR MODELS AND LINEAR REGRESSION
APPENDIX A: TABLES
APPENDIX B: COMPUTER SOFTWARE
APPENDIX C: ANSWERS TO SELECTED PROBLEMS
SUBJECT INDEX
Author Details
"T.T. Soong"
State University of New York at Buffalo, Buffalo, New York, USA
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