000			03246cam a2200373 i 4500
001			19785244
003			VITAP
005			20250226165727.0
008			170714s2019 mau b 001 0 eng
010			_a 2017033015
020			_a9789353946760 (pbk)
040			_aDLC _beng _cVITAP _erda _dDLC
042			_apcc
050	0	0	_aQA276 _b.H59 2019
082	0	0	_a519.5 HOG _223rd
100	1		_aHogg, Robert V., _eauthor.
245	1	0	_aIntroduction to mathematical statistics / _cRobert V. Hogg, University of Iowa, Joseph W. McKean, Western Michigan University, Allen T. Craig, Late Professor of Statistics, University of Iowa.
250			_aEighth edition.
264		1	_aNoida : _bPearson India Education Services Pvt. Ltd., _c[2019]
300			_a760 pages ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
501			_aIntroduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text's flexible organization makes it ideal for a range of mathematical statistics courses. Substantial changes to the 8th Edition - many based on user feedback - help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development " Salient Features "· Many additional real data sets to illustrate statistical methods or compare methods. · Expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms. · Expanded discussion of iterated integrals, with added figures to clarify discussion. · Several important topics have been added, including a subsection on the bivariate normal distribution, Tukey's multiple comparison procedure and confidence intervals for the correlation coefficients. · Discussion on standard errors for estimates obtained by bootstrapping the sample is now included."
504			_aIncludes bibliographical references and index.
505			_a Table of Content "1. Probability and Distributions 2. Multivariate Distributions 3. Some Special Distributions 4. Some Elementary Statistical Inferences 5. Consistency and Limiting Distributions 6. Maximum Likelihood Methods 7. Sufficiency 8. Optimal Tests of Hypotheses 9. Inferences About Normal Linear Models 10. Nonparametric and Robust Statistics 11. Bayesian Statistics Appendices: A. Mathematical Comments B. R Primer C. Lists of Common Distributions D. Table of Distributions E. References F. Answers to Selected Exercises"
650		0	_aMathematical statistics.
700	1		_aMcKean, Joseph W., _d1944- _eauthor.
700	1		_aCraig, Allen T. _q(Allen Thornton), _d1905- _eauthor.
856			_uhttps://pearsoned.co.in/web/books/9789353946760_Introduction-to-Mathematical-Statistics_Robert-V-Hogg.aspx
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _e23rd _h519.5 _mHOG
999			_c46220 _d46220