000 01446cam a2200301 i 4500
003 OSt
005 20231123122858.0
008 141002s2014 gw a b 001 0 eng c
020 _a9780124171138 (hbk.)
040 _aBUL
_beng
_cBUL
_erda
_dBUL
082 0 0 _a519.5
_222
_bRAM
100 1 _aRamachandran, Kandethody M.
245 1 0 _aMathematical statistics with applications in R /
_cby Kandethody M. Ramachandran, Chris P. Tsokos
250 _a2nd edition
264 1 _aAmsterdam ;
_aBoston :
_bElsevier, Academic Press is an imprint of Elsevier,
_cc2015.
300 _axxiii, 800 pages :
_billustrations ;
_c24 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
500 _aDescriptive statistics Basic concepts from probability theory Additional topics in probability Sampling distributions Statistical estimation Hypothesis testing Goodness-of-fit tests and applications Linear regression models Design of experiments Analysis of variance Bayesian estimation and inference Nonparametric tests Empirical methods Some issues in statistical applications:an overview.
504 _aIncludes bibliographical references (pages 785-789) and index.
650 0 _aMathematical statistics.
650 0 _aMathematical statistics
_xData processing.
650 0 _aR (Computer program language)
700 1 _aTsokos, Chris P.,
942 _2ddc
_cBO
999 _c11439
_d11439