Testing for goodness-of-fit of discrete models is a difficult task when data come from a sample survey with complex sampling design. This paper focuses on power-divergence statistics. A new resampling procedure to test for goodness-of-fit is developed, and its asymptotic properties are established
To test the hypothesis H0: f=? that an unknown density f is equal to a specified one, ?, an estimate...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
Distributional assumptions are at the core of statistical methods. Goodness-of-fit test statistics a...
Goodness-of-fit test statistics are widely used in surveys however little regard is given to the sta...
Although a variety of goodness-of-fit test statistics are used by applied researchers, studies of th...
Although a variety of goodness-of-fit test statistics are used by applied researchers, studies of th...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
ACL-1International audienceAn axiomatic approach is used to develop a one-parameter family of measur...
A fundamental issue that arises after fitting a regression model is that of testing the goodness of ...
Goodness-of-fit test statistics are widely used in health and medicine related surveys however littl...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
To test the hypothesis H0: f=? that an unknown density f is equal to a specified one, ?, an estimate...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
Distributional assumptions are at the core of statistical methods. Goodness-of-fit test statistics a...
Goodness-of-fit test statistics are widely used in surveys however little regard is given to the sta...
Although a variety of goodness-of-fit test statistics are used by applied researchers, studies of th...
Although a variety of goodness-of-fit test statistics are used by applied researchers, studies of th...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
ACL-1International audienceAn axiomatic approach is used to develop a one-parameter family of measur...
A fundamental issue that arises after fitting a regression model is that of testing the goodness of ...
Goodness-of-fit test statistics are widely used in health and medicine related surveys however littl...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
To test the hypothesis H0: f=? that an unknown density f is equal to a specified one, ?, an estimate...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...