AND INTRODUCTION The goal of smoothing is to replace an observed frequency distribution with a distribution that preserves some features of the observed data without the irregularities that are attributable to sampling. The type of smoothing covered in this paper involves the fitting of loglinear, Poisson-based models to discrete distributions. Loglinear smoothing can preserve a variety of diff...

این پژوهش با الهام گرفتن از نتایج یک طرح مطالعاتی کاربردی، رویکرد سلسله­‌مراتبی جهت پیگیری فرایند توسعه تأمین‌کنندگان و حمایت تصمیمات موجود در هر مراحل آن ارائه‌ می‌کند. ابتدا، زمینه‌های تأمین نیازمند سپس واجد شرایط هریک زمینه‌ها به کمک تصمیم‌گیری چندشاخصه بهترین-بدترین مشخص می‌گردند. معیارهای شناسایی نیز مرور مطالعات پیشین بهره‌گیری نظرات خبرگان حوزه‌ی خرید استخراج‌شده‌اند. درنهایت، مدل ریاضی ...

Title of Dissertation: THE IMPACT OF MODEL SELECTION ON LOGLINEAR ANALYSIS OF CONTINGENCY TABLES Jing Gao, Doctor of Philosophy, 2009 Dissertation directed by: Professor C. Mitchell Dayton Department of Measurement, Statistics and Evaluation It is common practice for researchers in the social sciences and education to use model selection techniques to search for best fitting models and to carry...

A general framework is presented for the analysis of partially ordered set (poset) data. The work is motivated by the need to analyse poset data such as multi-componential responses in psychological measurement and partially accomplished cognitive tasks in educational measurement. It is shown how the generalized loglinear model can be used to represent poset data that form a lattice and how lat...

We set out IDR as a loglinear model-based Moran’s I test for Poisson count data that resembles the Moran’s I residual test for Gaussian data. We evaluate its type I and type II error probabilities via simulations, and demonstrate its utility via a case study. When population sizes are heterogeneous, IDR is effective in detecting local clusters by local association terms with an acceptable type ...