![]() At the same time LHS preserves high accuracy of estimates of sta. Papers also reflect shifts in attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection). ABSTRACT: The Latin Hypercube Sampling (LHS) method is a numerical simulation method. This includes an emphasis on new statistical approaches to screening, modeling, pattern characterization, and change detection that take advantage of massive computing capabilities. Papers in the journal reflect modern practice. Application of proposed methodology is justified, usually by means of an actual problem in the physical, chemical, or engineering sciences. Latin hypercube sampling is a widely-used method to generate controlled. The sampling strategy was designed using conditioned Latin Hypercube Sample (cLHS), and different methods were tested to produce the soil properties maps. ![]() Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's mission. f x is the joint probability density function (PDF) of random vector X, ( ). The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. ![]()
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