000			04118nam a22004693i 4500
001			EBC5199750
003			MiAaPQ
005			20240729131653.0
006			m o d |
007			cr cnu||||||||
008			240724s2016 xx o ||||0 eng d
020			_a9788021081062 _q(electronic bk.)
020			_z9788021080195
035			_a(MiAaPQ)EBC5199750
035			_a(Au-PeEL)EBL5199750
035			_a(CaPaEBR)ebr11485749
035			_a(OCoLC)992167275
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
050		4	_aQ180.55.Q36 .P453 2016
082	0		_a001.42
100	1		_aPekár, Stanislav.
245	1	0	_aModern Analysis of Biological Data : _bGeneralized Linear Models in R.
250			_a1st ed.
264		1	_aBrno : _bMasarykova univerzita, _c2016.
264		4	_c©2016.
300			_a1 online resource (258 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aIntro -- CONTENTS -- FOREWORD -- 1 INTRODUCTION -- 1.1 How to read the book -- 1.2 Types of variables -- 1.3 Conventions -- 2 STATISTICAL SOFTWARE -- 2.1 The R environment -- 2.2 Installation and use of R -- 2.3 Basic operations -- 2.4 Data frames -- 3 EXPLORATORY DATA ANALYSIS (EDA) -- 3.1 Expected value -- 3.2 Variance -- 3.3 Confidence intervals -- 3.4 Summary tables -- 3.5 Plots -- 3.5.1 Distribution plots -- 3.5.2 Scatter plots -- 3.5.3 Box plots -- 3.5.4 Lattice plots -- 3.5.5 Interaction plots -- 3.5.6 Bar plots -- 3.5.7 Paired plots -- 3.5.8 3D plots -- 3.5.9 Plots with whiskers -- 3.5.10 Curves -- 4 STATISTICAL MODELLING -- 4.1 Regression model -- 4.2 General linear model -- 4.3 Generalized linear model -- 4.4 Searching for the "correct" model -- 4.5 Model selection -- 4.6 Model diagnosis -- 5 THE FIRST TRIAL -- 5.1 An Example -- 5.2 EDA -- 5.3 Presumed model -- 5.4 Statistical analysis -- 5.4.1 ANOVA table of Type I -- 5.4.2 Nonlinear trends -- 5.4.3 Removal of model terms -- 5.4.4 Comparison of levels using contrasts -- 5.4.5 Contrasts and the model parameterization -- 5.4.6 Posterior simplification -- 5.4.7 Diagnosis of the final model -- 5.5 Conclusion -- 6 SYSTEMATIC PART -- 6.1 Regression -- 6.2 ANOVA and ANODEV -- 6.3 ANCOVA and ANCODEV -- 6.4 Syntax of the systematic part -- 7 RANDOM PART -- 7.1 Continuous measurements -- 7.2 Counts and frequencies -- 7.3 Relative frequencies -- 8 GAUSSIAN DISTRIBUTION -- 8.1 Description of LM and GLM -- 8.2 Regression -- 8.3 Weighted regression -- 8.4 Multiple regression -- 8.5 Two-way ANOVA -- 8.6 One-way ANCOVA -- 9 GAMMA AND LOGNORMAL DISTRIBUTIONS -- 9.1 Description of the gamma model -- 9.2 Description of the lognormal model -- 9.3 Regression -- 9.4 Two-way ANODEV -- 9.5 Two-way ANCOVA -- 10 POISSON DISTRIBUTION -- 10.1 Description of the Poisson model -- 10.2 One-way ANODEV.
505	8		_a10.3 Overdispersion and underdispersion -- 10.4 Multiple regression -- 10.5 One-way ANCODEV -- 10.6 Three-way ANODEV -- 11 NEGATIVE-BINOMIAL DISTRIBUTION -- 11.1 Description of the negative-binomial model -- 11.2 One-way ANODEV -- 12 BINOMIAL DISTRIBUTION -- 12.1 Description of the binomial model -- 12.2 Two-way ANODEV -- 12.3 Overdispersion and underdispersion -- 12.4 Regression -- 12.5 One-way ANCODEV -- 12.6 Binary one-way ANCODEV -- REFERENCES -- INDEX -- Subject index -- R functions and their arguments.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650		0	_aQuantitative research.
650		0	_aAnalysis of variance.
650		0	_aDistribution (Probability theory).
655		4	_aElectronic books.
700	1		_aBrabec, Marek.
776	0	8	_iPrint version: _aPekár, Stanislav _tModern Analysis of Biological Data _dBrno : Masarykova univerzita,c2016 _z9788021080195
797	2		_aProQuest (Firm)
856	4	0	_uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5199750 _zClick to View
999			_c134293 _d134293