Growth curve modeling theory and applications
Features recent trends and advances in the theory and techniques used to accurately measure and model growthGrowth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no &qu...
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| Sprache: | English |
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Hoboken, New Jersey
John Wiley & Sons, Inc.
[2014]
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| 100 | 1 | |a Panik, Michael J. |e VerfasserIn |4 aut | |
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| 520 | |a Features recent trends and advances in the theory and techniques used to accurately measure and model growthGrowth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no "one size fits all" approach to growth measurement. A review of the requisite mathematics for growth modeling and the statistical techniques needed for estimating growth models are provided, and an overview of popular growth curves, such as linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, negative exponential, and log-logistic, among others, is included. In addition, the book discusses key application areas including economic, plant, population, forest, and firm growth and is suitable as a resource for assessing recent growth modeling trends in the medical field. SAS® is utilized throughout to analyze and model growth curves, aiding readers in estimating specialized growth rates and curves. | ||
| 520 | |a Includes derivations of virtually all of the major growth curves and models, Growth Curve Modeling: Theory and Applications also features:" Statistical distribution analysis as it pertains to growth modeling" Trend estimations" Dynamic site equations obtained from growth models" Nonlinear regression" Yield-density curves" Nonlinear mixed effects models for repeated measurements dataGrowth Curve Modeling: Theory and Applications is an excellent resource for statisticians, public health analysts, biologists, botanists, economists, and demographers who require a modern review of statistical methods for modeling growth curves and analyzing longitudinal data. The book is also useful for upper-undergraduate and graduate courses on growth modeling. | ||
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| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-30-ORH-108521788 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T08:48:43Z |
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| isbn | 9781118763940 1118763947 9781118763902 1118763904 9781118763971 1118763971 1118764048 9781118764046 |
| language | English |
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| publisher | John Wiley & Sons, Inc. |
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| spelling | Panik, Michael J. VerfasserIn aut Growth curve modeling theory and applications Michael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut Hoboken, New Jersey John Wiley & Sons, Inc. [2014] ©2014 1 online resource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record and CIP data provided by publisher Features recent trends and advances in the theory and techniques used to accurately measure and model growthGrowth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no "one size fits all" approach to growth measurement. A review of the requisite mathematics for growth modeling and the statistical techniques needed for estimating growth models are provided, and an overview of popular growth curves, such as linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, negative exponential, and log-logistic, among others, is included. In addition, the book discusses key application areas including economic, plant, population, forest, and firm growth and is suitable as a resource for assessing recent growth modeling trends in the medical field. SAS® is utilized throughout to analyze and model growth curves, aiding readers in estimating specialized growth rates and curves. Includes derivations of virtually all of the major growth curves and models, Growth Curve Modeling: Theory and Applications also features:" Statistical distribution analysis as it pertains to growth modeling" Trend estimations" Dynamic site equations obtained from growth models" Nonlinear regression" Yield-density curves" Nonlinear mixed effects models for repeated measurements dataGrowth Curve Modeling: Theory and Applications is an excellent resource for statisticians, public health analysts, biologists, botanists, economists, and demographers who require a modern review of statistical methods for modeling growth curves and analyzing longitudinal data. The book is also useful for upper-undergraduate and graduate courses on growth modeling. Mathematical statistics Time-series analysis Regression analysis Multivariate analysis Série chronologique Analyse de régression Analyse multivariée MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General 9781118764046 Erscheint auch als Druck-Ausgabe 9781118764046 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781118764046/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Panik, Michael J. Growth curve modeling theory and applications Mathematical statistics Time-series analysis Regression analysis Multivariate analysis Série chronologique Analyse de régression Analyse multivariée MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| title | Growth curve modeling theory and applications |
| title_auth | Growth curve modeling theory and applications |
| title_exact_search | Growth curve modeling theory and applications |
| title_full | Growth curve modeling theory and applications Michael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut |
| title_fullStr | Growth curve modeling theory and applications Michael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut |
| title_full_unstemmed | Growth curve modeling theory and applications Michael J. Panik, Department of Economics, University of Hartford, West Hartford, Connecticut |
| title_short | Growth curve modeling |
| title_sort | growth curve modeling theory and applications |
| title_sub | theory and applications |
| topic | Mathematical statistics Time-series analysis Regression analysis Multivariate analysis Série chronologique Analyse de régression Analyse multivariée MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| topic_facet | Mathematical statistics Time-series analysis Regression analysis Multivariate analysis Série chronologique Analyse de régression Analyse multivariée MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| url | https://learning.oreilly.com/library/view/-/9781118764046/?ar |
| work_keys_str_mv | AT panikmichaelj growthcurvemodelingtheoryandapplications |