Abstract _ This paper presents a distribution free multivariate Kolmogorov-Smirnov good- ness of fit test. The test uses an statistic which is built using Rosenblatt's transformation and an algorithm is developed to compute it in the bivariate case. An approximate test, that can be easily computed in any dimension, is also presented. The power of these multivariate tests is studied in a simulation study. Key words: Empirical distribution function. Kolmogorov-Smirnov statistics. Rosenblatt's transformation
This paper provides extensive simulated power studies for three majorgoodness-of-fit test statistics...
In this article, we propose a univariate goodness-of-fit test to verify if a random variable follows...
The Kolmogorov Smirnov test (KS) is a well known test used to asses how a set of observations is sig...
This paper presents a distribution free multivariate Kolmogorov-Smirnov goodıness of fit test. The t...
Preprint enviat per a la seva publicació en una revista científica: The Annals of Statistics. Volume...
In this thesis we introduce, implement and compare several multivariate goodness-of-fit tests. First...
The classical goodness-of-fit problem, in the case of a null continuous and completely specified dis...
The Kolmogorov-Smirnov (K–S) one-sided and two-sided tests of goodness of fit based on the test stat...
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a sp...
We present a goodness-of-fit test for multidimensional distributions which is a natural extension of...
The Kolmogorov-Smirnov test determines the consistency of empirical data with a particular probabili...
Goodness-of-fit statistics measure the compatibility of random samples against some theoretical prob...
Goodness-of-fit statistics measure the compatibility of random samples against some theoretical prob...
The empirical distribution function used in the classical Kalmogorov-Smimov test involving estimated...
The Kolmogorov-Smirnov goodness-of-fit test is exact only when the hypothesized distribution is con...
This paper provides extensive simulated power studies for three majorgoodness-of-fit test statistics...
In this article, we propose a univariate goodness-of-fit test to verify if a random variable follows...
The Kolmogorov Smirnov test (KS) is a well known test used to asses how a set of observations is sig...
This paper presents a distribution free multivariate Kolmogorov-Smirnov goodıness of fit test. The t...
Preprint enviat per a la seva publicació en una revista científica: The Annals of Statistics. Volume...
In this thesis we introduce, implement and compare several multivariate goodness-of-fit tests. First...
The classical goodness-of-fit problem, in the case of a null continuous and completely specified dis...
The Kolmogorov-Smirnov (K–S) one-sided and two-sided tests of goodness of fit based on the test stat...
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a sp...
We present a goodness-of-fit test for multidimensional distributions which is a natural extension of...
The Kolmogorov-Smirnov test determines the consistency of empirical data with a particular probabili...
Goodness-of-fit statistics measure the compatibility of random samples against some theoretical prob...
Goodness-of-fit statistics measure the compatibility of random samples against some theoretical prob...
The empirical distribution function used in the classical Kalmogorov-Smimov test involving estimated...
The Kolmogorov-Smirnov goodness-of-fit test is exact only when the hypothesized distribution is con...
This paper provides extensive simulated power studies for three majorgoodness-of-fit test statistics...
In this article, we propose a univariate goodness-of-fit test to verify if a random variable follows...
The Kolmogorov Smirnov test (KS) is a well known test used to asses how a set of observations is sig...