To facilitate the implementation of lean production, practitioners and researchers have suggested an array of critical success factors (CSFs). However, despite a broad consensus about what needs to be done, companies still struggle to implement lean. Contingency theory posits the explanation that the common advice is not universal but is instead contingent on the situation. This paper investigates how contingency variables influence what practitioners see as success factors for implementing lean. A survey asked 432 practitioners from 83 factories belonging to two multinational companies for their opinions about what managers should do to ensure the success of the factory-level implementation of lean production. The survey responses were grouped into general success factors, which were then tested for differences across four contingency variables: corporation, factory size, stage of lean implementation and national culture. In general, the analysis supports a generic list of CSFs, but with some minor excep...

Critical success factors for implementing lean production: the effect of contingencies

This article brings in two new discrete distributions: multivariate Binomial distribution and multivariate Poisson distribution. Those distributions were created in eventology as more correct generalizations of Binomial and Poisson distributions. Accordingly to eventology new laws take into account full distribution of events. Also, some properties and
characteristics of these new multivariate discrete distributions are described.

https://mpra.ub.uni-muenchen.de/48099/1/MPRA_paper_48099.pdf

Discrete multivariate distributions

The book gives step-by-step guidance through the process of statistical analysis and provides multiple examples of how statistical techniques can be used to analyse and visualise linguistic data It also includes a useful selection of discussion questions and exercises which you can use to check your understanding The book comes with a Companion website, which provides additional materials (answers to exercises, datasets, advanced materials, teaching slides etc) and Lancaster Stats Tools online (http://corporalancsacuk/stats), a free click-and-analyse statistical tool for easy calculation of the statistical measures discussed in the book

Statistics in Corpus Linguistics: A Practical Guide

R. A. Fisher in the 21st Century

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 Burr XI

Validation of Burr XII inverse Rayleigh model via a modified chi-squared goodness-of-fit test

"Chi-Squared Goodness of Fit Tests with Applications" provides a thorough and complete context for the theoretical basis and implementation of Pearson's monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with an authoritative author team. This reference includes the most recent application developments in using these methods and models. Systematic presentation with interesting historical context and coverage of the fundamentals of the subject. Presents modern model validity methods, graphical techniques, and computer-intensive methods. Recent research and a variety of open problems. Interesting real-life examples for practitioners.

Chi-Squared Goodness of Fit Tests with Applications

Some recent results in the theory and applications of modified chi-squared goodness-of-fit tests are briefly discussed. It seems that for the first time power of modified chi-squared type tests for the logistic and three-parameter Weibull distributions based on moment type estimators is studied. Power of different modified tests against some alternatives for equiprobable fixed or random grouping intervals, and for Neyman–Pearson classes is investigated. It is shown that power of test statistic essentially depends on the quantity of Fisher's sample information this statistic uses. Some recommendations on implementing modified chi-squared type tests are given.

A Comparative Study of Some Modified Chi-Squared Tests

New invariant and consistent goodness-of-fit tests for multivariate normality are introduced. Tests are based on the Karhunen–Loeve transformation of a multidimensional sample from a population. A comparison of simulated powers of tests and other well-known tests with respect to some alternatives is given. The simulation study demonstrates that power of the proposed McCull test almost does not depend on the number of grouping cells. The test shows an advantage over other chi-squared type tests. However, averaged over all of the simulated conditions examined in this article, the Anderson–Darling type and the Cramer–von Mises type tests seem to be the best.

New invariant and consistent chi-squared type goodness-of-fit tests for multivariate normality and a related comparative simulation study

The power-generalized Weibull probability distribution is very often used in survival analysis mainly because different values of its parameters allow for various shapes of hazard rate such as monotone increasing/decreasing, ∩-shaped, ∪-shaped, or constant. Modified chi-squared tests based on maximum likelihood estimators of parameters that are shown to be -consistent are proposed. Power of these tests against exponentiated Weibull, three-parameter Weibull, and generalized Weibull distributions is studied using Monte Carlo simulations. It is proposed to use the left-tailed rejection region because these tests are biased with respect to the above alternatives if one will use the right-tailed rejection region. It is also shown that power of the McCulloch test investigated can be two or three times higher than that of Nikulin–Rao–Robson test with respect to the alternatives considered if expected cell frequencies are about 5.

Goodness-of-fit tests for the power-generalized weibull probability distribution

Milestones of the theory and applications of modified chi-squared tests are briefly discussed. Recent achievements in the theory and applications (in particular in reliability and survival analysis) are considered.

Vassilly Voinov

Papers

Chi-Squared Goodness of Fit Tests with Applications

A Comparative Study of Some Modified Chi-Squared Tests

New invariant and consistent chi-squared type goodness-of-fit tests for multivariate normality and a related comparative simulation study

Goodness-of-fit tests for the power-generalized weibull probability distribution

Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing