Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93

Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93
Author: Tadeusz Calinski
Publisher: Springer Science & Business Media
Total Pages: 309
Release: 2012-12-06
Genre: Mathematics
ISBN: 9401110042

The International Conference on Linear Statistical Inference LINSTAT'93 was held in Poznan, Poland, from May 31 to June 4, 1993. The purpose of the confer ence was to enable scientists, from various countries, engaged in the diverse areas of statistical sciences and practice to meet together and exchange views and re sults related to the current research on linear statistical inference in its broadest sense. Thus, the conference programme included sessions on estimation, prediction and testing in linear models, on robustness of some relevant statistical methods, on estimation of variance components appearing in linear models, on certain gen eralizations to nonlinear models, on design and analysis of experiments, including optimality and comparison of linear experiments, and on some other topics related to linear statistical inference. Within the various sessions 22 invited papers and 37 contributed papers were presented, 12 of them as posters. The conference gathered 94 participants from eighteen countries of Europe, North America and Asia. There were 53 participants from abroad and 41 from Poland. The conference was the second of this type, devoted to linear statistical inference. The first was held in Poznan in June, 4-8, 1984. Both belong to the series of confer ences on mathematical statistics and probability theory organized under the auspices of the Committee of Mathematics of the Polish Academy of Sciences, due to the ini tiative and efforts of its Mathematical Statistics Section. In the years 1973-1993 there were held in Poland nineteen such conferences, some of them international.

Linear Statistical Inference

Linear Statistical Inference
Author: T. Calinski
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2013-03-09
Genre: Mathematics
ISBN: 146157353X

An International Statistical Conference on Linear Inference was held in Poznan, Poland, on June 4-8, 1984. The conference was organized under the auspices of the Polish Section of the Bernoulli Society, the Committee of Mathematical Sciences and the Mathematical Institute of the ,Polish Academy of Sciences. The purpose of the meeting was to bring together scientists from vari ous countries working in the diverse areas of statistical sciences but showing great interest in the advances of research on linear inference taken in its broad sense. Thus, the conference programme included ses sions on Gauss-Markov models, robustness, variance components~ experi mental design, multiple comparisons, multivariate models, computational aspects and on some special topics. 38 papers were read within the vari ous sessions and 5 were presented as posters. At the end of the confer ence a lively general discussion session was held. The conference gathered more than ninety participants from 16 countries, representing both parts of Europe, North America and Asia. Judging from opinions expressed by many participants, the conference was quite suc cessful, well contributing to the dissemination of knowledge and the stimulation of research in different areas linked with statistical li near inference. If the conference was really a success, it was due to all its participants who in various ways were devoting their time and efforts to make the conference fruitful and enjoyable.

Trends and Perspectives in Linear Statistical Inference

Trends and Perspectives in Linear Statistical Inference
Author: Müjgan Tez
Publisher: Springer
Total Pages: 261
Release: 2018-02-01
Genre: Mathematics
ISBN: 3319732412

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.

Foundations of Statistical Inference

Foundations of Statistical Inference
Author: Yoel Haitovsky
Publisher: Springer Science & Business Media
Total Pages: 227
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642574106

This volume is a collection of papers presented at a conference held in Shoresh Holiday Resort near Jerusalem, Israel, in December 2000 organized by the Israeli Ministry of Science, Culture and Sport. The theme of the conference was "Foundation of Statistical Inference: Applications in the Medical and Social Sciences and in Industry and the Interface of Computer Sciences". The following is a quotation from the Program and Abstract booklet of the conference. "Over the past several decades, the field of statistics has seen tremendous growth and development in theory and methodology. At the same time, the advent of computers has facilitated the use of modern statistics in all branches of science, making statistics even more interdisciplinary than in the past; statistics, thus, has become strongly rooted in all empirical research in the medical, social, and engineering sciences. The abundance of computer programs and the variety of methods available to users brought to light the critical issues of choosing models and, given a data set, the methods most suitable for its analysis. Mathematical statisticians have devoted a great deal of effort to studying the appropriateness of models for various types of data, and defining the conditions under which a particular method work. " In 1985 an international conference with a similar title* was held in Is rael. It provided a platform for a formal debate between the two main schools of thought in Statistics, the Bayesian, and the Frequentists.

Recent Developments in Statistical Inference and Data Analysis

Recent Developments in Statistical Inference and Data Analysis
Author: Kameo Matsushita
Publisher: North Holland
Total Pages: 384
Release: 1980
Genre: Mathematics
ISBN:

Enlarged mathematical representation for stochastic phenomena; Specification of statistical models by sufficiency;A modification of Brown's technique for proving inadmissibility; Estimating linear functional relationships; An empirical bayes approach to outliers: shifted mean case; Exploratory data analysis when data are matrices; Spatial patterns of territories; On the distribution of the likelihood ratio criterion for a covariance matrix; Some statistical methods of estimating the size of an animal population; Analysis of sentence structure by reordering processes; On the estimators for estimating variance of a normal distribution; Conditionality and maximum-likelihood estimation; Empirical bayes two-way decision in the case of discrete distributions; On an autoregressive model fitting and discrete spectra; The distributions of moving order statistics; Best invariant prediction region based on an adequate statistic; Estimation of the threshold parameter of the three parameter lognormal distributionA criterion for choosing the number of clusters in cluster analysis; On the development of SPMS as an effective tool for medical data analysis; Two approaches to nonparametric regression: splines & isotonic inference.