000			05695cam a2200769 i 4500
001			ocn856879313
003			OCoLC
005			20171106084256.0
006			m o d
007			cr |||||||||||
008			130823s2014 nju ob 001 0 eng
010			_a 2013034788
020			_a9781118763940 _q(epub)
020			_a1118763947 _q(epub)
020			_a9781118763902 _q(pdf)
020			_a1118763904 _q(pdf)
020			_a9781118763971 _q(electronic bk.)
020			_a1118763971 _q(electronic bk.)
020			_a1118764048
020			_a9781118764046
020			_z9781118764046 _q(cloth)
029	1		_aAU@ _b000053336455
029	1		_aDEBBG _bBV042490198
029	1		_aDEBSZ _b434833789
029	1		_aNZ1 _b15495711
029	1		_aNZ1 _b15905577
029	1		_aDEBBG _bBV043396174
035			_a(OCoLC)856879313 _z(OCoLC)864997729 _z(OCoLC)874968067 _z(OCoLC)895288368 _z(OCoLC)929527155 _z(OCoLC)961629619 _z(OCoLC)962642489
037			_aCL0500000502 _bSafari Books Online
040			_aDLC _beng _erda _epn _cDLC _dYDX _dN$T _dYDXCP _dDG1 _dCUI _dOCLCF _dUMI _dCOO _dRECBK _dDEBBG _dSTF _dE7B _dOCLCO _dEBLCP _dOCLCQ
042			_apcc
049			_aMAIN
050	0	0	_aQA276
072		7	_aMAT _x003000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
082	0	0	_a519.5 _223
100	1		_aPanik, Michael J.
245	1	0	_aGrowth curve modeling : theory and applications / _cMichael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut. _h[electronic resource]
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2014]
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aTitle page; copyright; dedication; preface; 1 mathematical preliminaries; 1.1 arithmetic progression; 1.2 geometric progression; 1.3 the binomial formula; 1.4 the calculus of finite differences; 1.5 the number e; 1.6 the natural logarithm; 1.7 the exponential function; 1.8 exponential and logarithmic functions: another look; 1.9 change of base of a logarithm; 1.10 the arithmetic (natural) scale versus the logarithmic scale; 1.11 compound interest arithmetic; 2 fundamentals of growth; 2.1 time series data; 2.2 relative and average rates of change; 2.3 annual rates of change.
505	8		_a2.4 discrete versus continuous growth2.5 the growth of a variable expressed in terms of the growth of its individual arguments; 2.6 growth rate variability; 2.7 growth in a mixture of variables; 3 parametric growth curve modeling; 3.1 introduction; 3.2 the linear growth model; 3.3 the logarithmic reciprocal model; 3.4 the logistic model; 3.5 the gompertz model; 3.6 the weibull model; 3.7 the negative exponential model; 3.8 the von bertalanffy model; 3.9 the log-logistic model; 3.10 the brody growth model; 3.11 the janoschek growth model; 3.12 the lundqvist-korf growth model.
505	8		_a3.13 the hossfeld growth model3.14 the stannard growth model; 3.15 the schnute growth model; 3.16 the morgan-mercer-flodin (m-m-f) growth model; 3.17 the mcdill-amateis growth model; 3.18 an assortment of additional growth models; appendix 3.a the logistic model derived; appendix 3.b the gompertz model derived; appendix 3.c the negative exponential model derived; appendix 3.d the von bertalanffy and richards models derived; appendix 3.e the schnute model derived; appendix 3.f the mcdill-amateis model derived; appendix 3.g the sloboda model derived.
505	8		_aAppendix 3.h a generalized michaelis-menten growth equation4 estimation of trend; 4.1 linear trend equation; 4.2 ordinary least squares (ols) estimation; 4.3 maximum likelihood (ml) estimation; 4.4 the sas system; 4.5 changing the unit of time; 4.6 autocorrelated errors; 4.7 polynomial models in t; 4.8 issues involving trended data; appendix 4.a ols estimated and related growth rates; 5 dynamic site equations obtained from growth models; 5.1 introduction; 5.2 base-age-specific (bas) models; 5.3 algebraic difference approach (ada) models.
505	8		_a5.4 generalized algebraic difference approach (gada) models5.5 a site equation generating function; 5.6 the grounded gada (g-gada) model; appendix 5.a glossary of selected forestry terms; 6 nonlinear regression; 6.1 intrinsic linearity/nonlinearity; 6.2 estimation of intrinsically nonlinear regression models; appendix 6.a gauss-newton iteration scheme: the single parameter case; appendix 6.b gauss-newton iteration scheme: the r parameter case; appendix 6.c the newton-raphson and scoring methods; appendix 6.d the levenberg-marquardt modification/compromise.
588	0		_aPrint version record and CIP data provided by publisher.
650		0	_aMathematical statistics.
650		0	_aTime-series analysis.
650		0	_aRegression analysis.
650		0	_aMultivariate analysis.
650		4	_aTime series analysis.
650		7	_aMATHEMATICS _xApplied. _2bisacsh
650		7	_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh
650		7	_aMathematical statistics. _2fast _0(OCoLC)fst01012127
650		7	_aMultivariate analysis. _2fast _0(OCoLC)fst01029105
650		7	_aRegression analysis. _2fast _0(OCoLC)fst01432090
650		7	_aTime-series analysis. _2fast _0(OCoLC)fst01151190
655		4	_aElectronic books.
655		0	_aElectronic books.
776	0	8	_iPrint version: _aPanik, Michael J. _tGrowth curve modeling. _dHoboken, New Jersey : John Wiley & Sons, Inc., [2013] _z9781118764046 _w(DLC) 2013026535
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118763971 _zWiley Online Library
942			_2ddc _cBK
999			_c206952 _d206952