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Goodness-of-fit tests and model validity
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ISBN: 0817642099 3764342099 Year: 2002 Publisher: Boston : Birkhäuser,

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Smooth tests of goodness of fit : using R.
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ISBN: 9780470824429 Year: 2009 Publisher: Singapore Wiley

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Multi
CATMOG.
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ISSN: 03066142 ISBN: 0860942228 9780860942221 Year: 1975 Volume: 46 Publisher: London : Institute of British geographers,

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Smooth tests of goodness of fit
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ISBN: 1280440600 9786610440603 1423735447 0195363604 1601297122 9781423735441 9781601297129 9780195056105 0195056108 9781280440601 0195056108 6610440603 9780195363609 Year: 1989 Publisher: New York ; Oxford, [England] : Oxford University Press,

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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 statistics for discrete multivariate data
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ISBN: 038796682X 1461289319 1461245788 9780387966823 Year: 1988 Publisher: New York (N.Y.): Springer


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Interactive application of quadratic expansion of chi-square statistic to nonlinear curve fitting
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Year: 1987 Publisher: [Washington, D.C.] : National Aeronautics and Space Administration, Scientific and Technical Information Office,

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Goodness-of-fit techniques
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ISBN: 0824774876 9780824774875 Year: 1986 Volume: 68 Publisher: New York (N.Y.) Dekker

Smooth tests of goodness of fit
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ISBN: 0195056108 Year: 1989 Publisher: Oxford Oxford university press


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Modeling ordered choices : a primer
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ISBN: 9780511845062 9780521194204 9780521142373 9780511768521 0511768524 9780511770210 0511770219 9780511767135 0511767137 9780511769368 0511769369 0511845065 0521194202 0521142377 1107712866 1282653016 9786612653018 0511765746 Year: 2010 Publisher: Cambridge : Cambridge University Press,

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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.

Nonparametric smoothing and lack-of-fit tests.
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ISBN: 0387949801 1475727240 1475727224 9780387949802 Year: 1997 Publisher: New York (N.Y.) Springer

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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.

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