000			03323cam a2200409 i 4500
005			20250919185154.0
008			150430t20132014fluam bi a001 0 eng d
020			_a9781439851845 _q(hardback) _cRM247.09
020			_a1439851840 _q(hardback)
039		9	_a201506161029 _blan _c201506161028 _dlan _c201506110907 _dzabidah _y04-30-2015 _zzabidah
040			_aDLC _beng _erda _cDLC _dBTCTA _dOCLCO _dYDXCP _dOCLCQ _dBWX _dUKM _erda
090			_aQA276.A247
090			_aQA276 _b.A247
100	1		_aAbramovich, Felix, _eauthor.
245	1	0	_aStatistical theory : _ba concise introduction / _cFelix Abramovich, Ya'acov Ritov.
246	1	8	_ispine title : _aStatistical theory.
264		1	_aBoca Raton, Fl. : _bCRC Press, _c[2013].
264		4	_c©2013.
300			_axv, 224 pages : _billustrations ; _c25 cm.
336			_atext _2rdacontent.
337			_aunmediated _2rdamedia.
338			_avolume _2rdacarrier.
490	0		_aChapman & Hall/CRC texts in statistical science.
504			_aIncludes bibliographical references and index.
520			_aDesigned for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrative examples in addition to the formal definitions, theorems, and proofs. Based on the authors' lecture notes, this student-oriented, self-contained book maintains a proper balance between the clarity and rigor of exposition. In a few cases, the authors present a'sketched' version of a proof, explaining its main ideas rather than giving detailed technical mathematical and probabilistic arguments. Chapters and sections marked by asterisks contain more advanced topics and may be omitted. A special chapter on linear models shows how the main theoretical concepts can be applied to the well-known and frequently used statistical tool of linear regression. Requiring no heavy calculus, simple questions throughout the text help students check their understanding of the material. Each chapter also includes a set of exercises that range in level of difficulty. Features: Delineates the fundamental concepts of statistical theory, Balances exposition and mathematical formality, Introduces topics with numerous examples, avoiding a dry approach to the subject, Assumes an intermediate-level background in calculus and probability, Reviews the necessary probabilistic material in an appendix, Includes a series of exercises of varying levels of difficulty in each chapter, with selected solutions in an appendix Book jacket.
650		0	_aProbabilities _vTextbooks.
650		0	_aStatistics _vTextbooks.
700	1		_aRitov, Ya'acov, _d1951- _eauthor.
907			_a.b16135179 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA276.A247
914			_avtls003585400
990			_arab
991			_aFakulti Sains dan Teknologi
998			_at _b2015-04-04 _cm _da _feng _gflu _y0 _z.b16135179
999			_c684501 _d684501