Goodness-of-Fit Methods for Probabilistic Index Models
نویسندگان
چکیده
منابع مشابه
Goodness 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 کاملGoodness-of-fit methods for generalized linear mixed models.
We develop graphical and numerical methods for checking the adequacy of generalized linear mixed models (GLMMs). These methods are based on the cumulative sums of residuals over covariates or predicted values of the response variable. Under the assumed model, the asymptotic distributions of these stochastic processes can be approximated by certain zero-mean Gaussian processes, whose realization...
متن کاملSpectral goodness of fit for network models
We introduce a new statistic, ’spectral goodness of fit’ (SGOF) to measure how well a network model explains the structure of an observed network. SGOF provides an absolute measure of fit, analogous to the standard R2 in linear regression. Additionally, as it takes advantage of the properties of the spectrum of the graph Laplacian, it is suitable for comparing network models of diverse function...
متن کاملA global Goodness–of–Fit index for PLS structural equation
Riassunto: Scopo di questo lavoro è proporre un indice globale di bontà dell’adattamento per i modelli ad equazioni strutturali stimati mediante il metodo PLS. Al momento gli indici comunemente utilizzati in questo ambito sono la comunalità (bontà di adattamento del modello esterno) e la ridondanaza (qualità del modello interno). Si propone un indice che, alla stregua del test del chi-quadro e ...
متن کاملAssessment of Goodness of Fit Methods in Determining the Best Regional Probability Distribution of Rainfall Data
One of the most important problems in time series analysis of stream flow and rainfall data in an area is selecting the best probability distribution. Since the rainfall stations are associated and correlated with each other, so statistical analysis of the station data seamlessly are very important. Therefore, the first step in data analysis, is selecting the prevailing probability distribution...
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: Communications in Statistics - Theory and Methods
سال: 2013
ISSN: 0361-0926,1532-415X
DOI: 10.1080/03610926.2012.695851