000			02018nam a2200241Ia 4500
003			OSt
005			20230715191202.0
008			140908s9999 xx 000 0 und d
020			_a9780000988683
040			_aNISER LIBRARY _cNISER LIBRARY
041			_aEnglish
082			_a519.22 _bRAO-F
100			_aRao, B. L. S. Prakasa
245			_aFirst course in probability and statistics
260			_aSingapore: _bWorld Scientific, _c2020
300			_axi, 317p. _bPbk.
504			_aContents: 1. Why Statistics? 2. Probability on Discrete Sample Spaces 3. Discrete Probability Distributions 4. Continuous Probability Distributions 5. Multivariate Probability Distributions 6. Functions of Random Vectors 7. Approximations to Some Probability Distributions 8. Estimation 9. Interval Estimation and Testing of Hypotheses 10. Linear Regression and Correlation
520			_aExplanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year-level knowledge of calculus. Most of the statistical software explain how to conduct data analysis, but do not explain when to apply and when not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding of a first course in calculus at the undergraduate level. Designed as a textbook for undergraduate and first-year graduate students in statistics, bio-statistics, social sciences and business administration programs as well as undergraduates in engineering sciences and computer science programs, it provides a clear exposition of the theory of probability along with applications in statistics. The book contains a large number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.
650			_aESTIMATION
650			_aLINEAR REGRESSION AND CORRELATION
650			_aPROBABILITY ON DISCRETE SAMPLE SPACES
942			_cN _2udc
999			_c34300 _d34300