, АННОТАЦИЯ: This paper describes a method for formulating the Audze-Eglais Uniform Latin Hypercube design of experiments (DoE). The formulation of the Audze-Eglais DoE has not been reported in any previous research.The principle of the Audze-Eglais DoE is to distribute experiment points as uniformly as possible within the design variable domain.

Latin hypercube sampling (LHS) is a statistical method for generating a sample of plausible collections of parameter values from a multidimensional distribution. The sampling method is often used to construct computer experiments. See more at Wikipedia.org. Копирайт: © This article uses material from Wikipedia® and is.

This is achieved by minimizing the potential energy of the points of a DoE. The DoE for N variables and P experiments is independent of the application under consideration, so once the design is formulated for P points and N design variables, it is stored in a matrix and need not be formulated again.The generation of the Audze-Eglais DoE is time consuming and requires optimization to solve the minimization problem. Therefore, the major aim of the paper is to identify a design variable encoding method for use in optimization. The two methods for encoding the DoE for use in the optimizer are presented. The method adopted in this study uses the co-ordinates of the plan points as design variables. The results for the potential energy are compared to published Audze-Eglais Uniform Latin Hypercube DoE and to random sampling Latin Hypercube DoE.

The results indicate that the method works well and improvement over previous results has been achieved. БИБЛИОМЕТРИЧЕСКИЕ ПОКАЗАТЕЛИ.

Также в других словарях:. — Estimation of Distribution Algorithms (EDA), sometimes called Probabilistic Model Building Genetic Algorithms (PMBGA), are an outgrowth of genetic algorithms. In a genetic algorithm, a population of candidate solutions to a problem is maintained Wikipedia. — In statistics, sampling bias is when a sample is collected in such a way that some members of the intended population are less likely to be included than others. It results in a biased sample, a non random sample1 of a population (or non human Wikipedia. — Contents 1 Description 1.1 Random sampling 1.2 Bias problems 1.3 Non sampling error 2 See also Wikipedia. — In mathematical statistics, a sampling variogram is a graph that shows where a significant degree of causality (in this context, spatial dependence in sample spaces or sampling units) dissipates into randomness.

A sampling variogram is obtained Wikipedia. — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development Wikipedia. — /es teuh may sheuhn/, n.

Judgment or opinion: In my estimation the boy is guilty. Esteem; respect. Approximate calculation; estimate: to make an estimation of one s expenditures. 1325 75; ME estimacioun. Книги., Peter I. Ogunyinka and Ademola A. This book takes a full study on three estimators namely Simple random sampling without replacement (SRSWOR), double sampling for ratio and double sampling for regression estimators.

These., Rajendra Kaushal,Bhim Singh and B.V.S. In this book, two estimators of population total in stratified sampling under the single super-population model across the strata were developed and its properties and robustness were., Subhash Kumar Yadav. This book is very much fruitful for the researchers working in the field of sampling. In this book basically the estimation of population men of the main variable under study has been.