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007 cr |||||||||||
008 130823s2014 nju ob 001 0 eng
010 _a 2013034788
040 _aDLC
_beng
_erda
_epn
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019 _a864997729
_a874968067
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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
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029 1 _aAU@
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029 1 _aDEBBG
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035 _a(OCoLC)856879313
_z(OCoLC)864997729
_z(OCoLC)874968067
_z(OCoLC)895288368
_z(OCoLC)929527155
_z(OCoLC)961629619
_z(OCoLC)962642489
037 _aCL0500000502
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050 0 0 _aQA276
072 7 _aMAT
_x003000
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072 7 _aMAT
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_2bisacsh
082 0 0 _a519.5
_223
049 _aMAIN
100 1 _aPanik, Michael J.
245 1 0 _aGrowth curve modeling :
_btheory and applications /
_cMichael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut.
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.
588 0 _aPrint version record and CIP data provided by publisher.
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.
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://dx.doi.org/10.1002/9781118763971
_zWiley Online Library
994 _a92
_bDG1
999 _c20783
_d20742