000			01661nam a22002297a 4500
999			_c682 _d682
005			20201022143559.0
008			201022b ||||| |||| 00| 0 eng d
020			_a9789332573871
082			_a519.2 _bDEG
100			_aDeGroot, Morris H. _92099
245			_aProbability and Statistics
250			_a4th
260			_bPearson India Education Services Pvt. Ltd. _aNew Delhi _c2021
300			_a829 p.
365			_aINR _b989.00
504			_aTable of Content 1. Introduction to Probability 2. Conditional Probability 3. Random Variables and Distributions 4. Expectation 5. Special Distributions 6. Large Random Samples 7. Estimation 8. Sampling Distributions of Estimators 9. Testing Hypotheses 10. Categorical Data and Nonparametric Methods 11. Linear Statistical Models
520			_aThe revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
650			_aProbabilities _91139
650			_aMathematical statistics _9837
700			_aSchervish, Mark J. _92100
942			_2ddc _cBK