000			03749cam a22004938i 4500
001			on1097367011
005			20250919141840.0
006			m o d
007			cr |||||||||||
008			190413s2019 nju ob 001 0 eng
020			_a9781119551553 _q(Adobe PDF)
020			_a1119551552
020			_a9781119551546 _q(ePub)
020			_a1119551544
020			_a9781119551584 _q(electronic bk.)
020			_a1119551587 _q(electronic bk.)
029	1		_aAU@ _b000066006146
029	1		_aAU@ _b000065766291
040			_aDLC _beng _erda _cDLC _dOCLCO _dOCLCF _dUKAHL _dRECBK _dDG1 _dNST _dSNM
042			_apcc
049			_aMAIN
090			_aQA276.R37 _bA67 2019
100	1		_aRasch, Dieter, _eauthor.
245	1	0	_aApplied statistics : _btheory and problem solutions with R / _cDieter Rasch (Rostock, GM), Rob Verdooren, Jürgen Pilz.
263			_a1909
264		1	_aHoboken, NJ : _bWiley, _c2019.
300			_a1 online resource
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
520			_aInstructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background-taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. -Offers a practical over theoretical approach to the subject of applied statistics -Provides a pre-experimental as well as post-experimental approach to applied statistics -Features classroom tested material -Applicable to a wide range of people working in experimental design and all empirical sciences -Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.
650		0	_aMathematical statistics _vProblems, exercises, etc.
650		0	_aR (Computer program language)
655		4	_aElectronic books.
700	1		_aVerdooren, L. R., _eauthor.
700	1		_aPilz, Jürgen, _d1951- _eauthor.
776	0	8	_iPrint version: _aRasch, Dieter, author. _tApplied statistics _dHoboken, NJ : Wiley, 2019 _z9781119551522 _w(DLC) 2019016568
856	4	0	_uhttp://www.ezplib.ukm.edu.my/login?url= _uhttps://doi.org/10.1002/9781119551584 _zWiley Online Library
907			_a.b16817254 _b2021-06-25 _c2020-07-17
942			_n0 _kQA276.R37 A67 2019
998			_ae _b2020-07-17 _cm _dz _feng _gnju _y0 _z.b16817254
999			_c649134 _d649134