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Goodness-of-fit tests. --- Goodness-of-fit tests --- Geography --- Statistical methods --- Geography - Statistical methods
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This study describes the validity of models involving statistical distribution of data. The smooth tests are a subset of these tests which are easy to apply and can be used in any situation in which there are relatively large sample sizes.
Goodness-of-fit tests. --- Tests, Goodness-of-fit --- Statistical hypothesis testing
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Mathematical statistics --- Goodness-of-fit tests --- Multivariate analysis --- Analyse multivariée --- 519.535 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Goodness-of-fit tests. --- Multivariate analysis. --- Analyse multivariée
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Mathematical statistics. --- Curve fitting. --- Computer programs. --- Goodness of fit. --- Quadratic equations. --- Statistics.
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Mathematical statistics --- Goodness-of-fit tests --- 519.224 --- 10.02.c --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Distribution theory. Asymptotic theory. Characterization and structure theory --- Statistieken ; Correlatie en frequentiecurven --- 519.224 Distribution theory. Asymptotic theory. Characterization and structure theory
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Mathematical statistics --- 303.7 --- Goodness-of-fit tests --- #SBIB:303H510 --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Methoden sociale wetenschappen: statistische technieken, algemeen --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek)
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It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
Goodness-of-fit tests --- Order statistics --- kanstheorieën --- multivariaat --- waarschijnlijkheidsleer --- Statistics, Order --- Nonparametric statistics --- Ranking and selection (Statistics) --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Choice (Psychology) --- Psychology --- Factor analysis --- Psychometrics --- Mathematical models. --- Order statistics. --- Goodness-of-fit tests. --- Business, Economy and Management --- Economics
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The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres regres sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth smooth ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of lack-of fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression.
Mathematical statistics --- Smoothing (Statistics) --- Nonparametric statistics. --- Goodness-of-fit tests. --- Lissage (Statistique) --- Statistique non-paramétrique --- Goodness-of-fit tests --- Nonparametric statistics --- 519.2 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Statistique non-paramétrique --- Applied mathematics. --- Engineering mathematics. --- Applications of Mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics
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