The first step-by-step guide to conducting successful Chi-squaredtests Chi-squared testing
is one of the most commonly applied statisticaltechniques. It provides reliable answers for …

Let X (X1,, Xn) be a sequence of independent identically distributed random variables with
an unknown distribution function F (x). We consider the hypothesis test F c F, where F {F (x …

In this work, we propose a new three parameter distribution called the Burr XII inverse
Rayleigh model, this model is a generalization of the inverse Rayleigh distribution using the …

Because of the inherent spatial variability of soil properties and the limited number of
boreholes that can be afforded in a typical project, the soil properties at given geotechnical …

In this paper, we introduce a new univariate version of the Lomax model as well as a simple
type copula-based construction via Morgenstern family and via Clayton copula for …

This book concerns testing hypotheses in non-parametric models. Classical non-parametric
tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are …

In this paper, we introduce a new extension of the Inverse Weibull distribution along with a
number of its mathematical properties. Next, we construct a modified Chi-squared goodness …

Chi-squared goodness-of-fit test for right censored data Page 1 Chi-squared goodness-of-fit
test for right censored data Bagdonavicius VB1 and Nikulin MS2 1Vilnius University, Vilnius …

This paper extends the Pearson chi-square testing method to non-dynamic parametric
econometric models, in particular, models with covariates. The paper introduces the test and …

This paper extends the Pearson chi-square testing method to nondynamic parametric
econometric models, in particular, to models with covariates. The paper establishes the …