000 03242cam a2200469Ii 4500
001 ocn953264073
003 OCoLC
005 20190328114815.0
006 m o d
007 cr cnu---unuuu
008 160708s2016 enk ob 001 0 eng d
040 _aOPELS
_beng
_erda
_epn
_cOPELS
_dUIU
_dOCLCF
_dUMI
_dYDXCP
_dGGVRL
_dYDX
_dTEFOD
_dCNCGM
_dD6H
_dOCLCQ
019 _a953054660
_a956315810
_a956735842
_a957133139
_a957532360
_a958096148
020 _a9780128041239
_q(electronic bk.)
020 _a0128041234
_q(electronic bk.)
020 _z9780128024409
_q(print)
020 _z0128024402
_q(print)
035 _a(OCoLC)953264073
_z(OCoLC)953054660
_z(OCoLC)956315810
_z(OCoLC)956735842
_z(OCoLC)957133139
_z(OCoLC)957532360
_z(OCoLC)958096148
050 4 _aQA276
072 7 _aMAT
_x003000
_2bisacsh
072 7 _aMAT
_x029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aBhattacharya, P. K.
_eauthor.
245 1 0 _aTheory and methods of statistics /
_h[electronic resource]
_cP. K. Bhattacharya, Prabir Burman.
264 1 _aLondon, UK :
_bAcademic Press is an imprint of Elsevier,
_c2016.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aTheory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures.
504 _aIncludes bibliographical references and index.
588 0 _aOnline resource; title from PDF title page (SpringerLink, viewed July 8, 2016).
505 0 _a1. Probability theory -- 2. Some common probability distributions -- 3. Infinite sequences of random variables and their convergence properties -- 4. Basic concepts of statistical inference -- 5. Point estimation in parametric models -- 6. Hypothesis testing -- 7. Methods based on likelihood and their asymptotic properties -- 8. Distribution-free tests for hypothesis testing in nonparametric families -- 9. Curve estimation -- 10. Statistical functionals and their use in robust estimation -- 11. Linear models -- 12. Multivariate analysis -- 13. Time series.
650 0 _aMathematical statistics.
650 7 _aMathematical statistics.
_2fast
_0(OCoLC)fst01012127
650 7 _aMATHEMATICS / Applied.
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / General.
_2bisacsh
655 4 _aElectronic books.
700 1 _aBurman, Prabir,
_eauthor.
776 0 8 _iPrint version:
_z9780128024409
_z0128024402
_w(OCoLC)911073606
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780128024409
999 _c247369
_d247369