000			03816cam a2200577Ii 4500
001			9780429173462
003			FlBoTFG
005			20220509193020.0
006			m o d
007			cr cnu|||unuuu
008			200615s2020 flu ob 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9780429173462 _q(electronic bk.)
020			_a0429173466 _q(electronic bk.)
020			_a9780429545474 _q(electronic bk. : Mobipocket)
020			_a0429545479 _q(electronic bk. : Mobipocket)
020			_a9781498711494 _q(electronic bk. : PDF)
020			_a1498711499 _q(electronic bk. : PDF)
020			_a9780429530777 _q(electronic bk. : EPUB)
020			_a0429530773 _q(electronic bk. : EPUB)
020			_z9781498711487
020			_z9780367508456
035			_a(OCoLC)1158313785
035			_a(OCoLC-P)1158313785
050		4	_aSD387.B53
072		7	_aMAT _x029000 _2bisacsh
072		7	_aNAT _x011000 _2bisacsh
072		7	_aTEC _x003040 _2bisacsh
072		7	_aTVR _2bicssc
082	0	4	_a577.3072 _223
100	1		_aMehtätalo, Lauri, _eauthor.
245	1	0	_aBiometry for forestry and environmental data with examples in R / _cLauri Mehtätalo and Juha Lappi.
264		1	_aBoca Raton, FL : _bCRC Press, _c2020.
300			_a1 online resource (xiv, 412 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman & Hall/CRC applied environmental statistics
500			_a"A Chapman & Hall Book."
505	0		_a1. Introduction 2. Random Variables 3. Statistical Modeling, Estimation and Prediction 4. Linear Model 5. Linear Mixed-effects Models 6. More about Linear Mixed-effects Models 7. Nonlinear (Mixed-effects) Models 8. Generalized Linear (Mixed-Effects) Models 9. Multivariate (Mixed-Effects) Models 10. Additional topics on regression 11. Modeling Tree Size 12. Taper Curves 13. Measurement Errors 14. Forest and Environmental Experiments
520			_aBiometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aForests and forestry _xStatistical methods.
650		0	_aBiometry.
650		0	_aR (Computer program language)
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh
650		7	_aNATURE / Environmental Conservation & Protection _2bisacsh
650		7	_aTECHNOLOGY / Agriculture / Forestry _2bisacsh
700	1		_aLappi, Juha, _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429173462
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c128276 _d128276