Goodness-of-Fit Tests for Open Capture-Recapture Models
نویسندگان
چکیده
منابع مشابه
The Comparison Between Goodness of Fit Tests for Copula
Copula functions as a model can show the relationship between variables. Appropriate copula function for a specific application is a function that shows the dependency between data in a best way. Goodness of fit tests theoretically are the best way in selection of copula function. Different ways of goodness of fit for copula exist. In this paper we will examine the goodness of fit test...
متن کاملGoodness-of-fit tests in mixed models
Mixed models, with both random and fixed effects, are most often estimated on the assumption that the random effects are normally distributed. In this paper we propose several formal tests of the hypothesis that the random effects and/or errors are normally distributed. Most of the proposed methods can be extended to generalized linear models where tests for non-normal distributions are of inte...
متن کاملGoodness-of-fit Tests for high-dimensional Gaussian linear models
Let (Y, (Xi)1≤i≤p) be a real zero mean Gaussian vector and V be a subset of {1, . . . , p}. Suppose we are given n i.i.d. replications of this vector. We propose a new test for testing that Y is independent of (Xi)i∈{1,...p}\V conditionally to (Xi)i∈V against the general alternative that it is not. This procedure does not depend on any prior information on the covariance of X or the variance of...
متن کاملGoodness of Fit Tests for Probabilistic Measurement Models
General goodness of fit tests for probabilistic response models are developed. The tests are applicable in psychophysics, in the theory of choice behavior and in mathematical learning theories. The necessary and sufficient constraints that a measurement model puts on the response probabilities are used for testing this model. In addition, representation theorems for some models are proved and t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrics
سال: 1985
ISSN: 0006-341X
DOI: 10.2307/2530865