000 02282nam a2200373 i 4500
001 CR9781107741973
003 UkCbUP
005 20240905190719.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 141103s2015||||enk o ||1 0|eng|d
020 _a9781107741973 (ebook)
020 _z9781107071056 (hardback)
020 _z9781107415041 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA276.2
_b.W66 2015
082 0 0 _a519.5
_223
100 1 _aWood, Simon N.,
_eauthor.
245 1 0 _aCore statistics /
_cSimon Wood, University of Bath.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (viii, 250 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInstitute of Mathematical Statistics textbooks ;
_v6
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aBased on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.
650 0 _aStatistics
_vTextbooks.
650 0 _aStatistics
_xStudy and teaching (Graduate)
776 0 8 _iPrint version:
_z9781107071056
830 0 _aInstitute of Mathematical Statistics textbooks ;
_v6.
856 4 0 _uhttps://doi.org/10.1017/CBO9781107741973
942 _2ddc
_cEB
999 _c10228
_d10228