000			01822nam a22001937a 4500
020			_a9783642399084
082			_a519.5 SPO
100			_a Spokoiny, V.; Dickhaus, Thorsten,
245			_aBasics of modern mathematical statistics
260			_aGermany _bSpringer _c2015
300			_axviii, 296 p. _b24 cm; Hard
500			_aAlpha/2240 & 08- Mar-16/Rs.4014/-
505			_aBasic notions.- Parameter Estimation for an i.i.d. Model.- Regression Estimation.- Estimation in Linear Models.- Bayes Estimation.- Testing a Statistical Hypothesis.- Testing in Linear Models.- Some other Testing Methods.- Deviation Probability for Quadratic Forms.
520			_aThis textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods.
650			_aMathematical statistics _aComputer science _aStatistics
700			_aVladimir Spokoiny,; Thorsten Dickhaus
856			_uhttp://www.springer.com/gp/book/9783642399084
942			_cBK
999			_c102776 _d102776