Ecological Theory of Democracy: Steps Toward a Non-Equilibriumview O

Politics & Social Sciences

Collins, William

Politics & Government

Physica-Verlag

Structural unemployment (Studies in contemporary economics)

Other Contributor-Wolfgang Franz

Economies in Transition: A System of Models and Forecasts for Germany and Poland (Studies in Contemporary Economics)

Business & Money

Economics

Computational Methods for Parsimonious Data Fitting. Compstat lectures 2. Lectures in Computational Statistics

Marjan Ribaric

COMPSTAT 1974.: Proceedings in Computational Statistics.

Science & Math

L. Schmetterer G. Bruckmann F. Ferschl

Mathematics

This volume treats the four main categories of Statistical Quality General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, fields related to Reliability. Experts with international reputation present their newest contributions.

Frontiers in Statistical Quality Control 1.

G. B. Wetherill Wilrich Hans-Joachim Lenz

Like the first two volumes, published in 1981 and 1984 and met with a lively response, the present volume is collecting contributions stressed on methodology or successfull industrial applications. The papers are classified under two main headings; sampling inspection and process quality control. Among the papers dealing with sampling inspection, Liebesman analyzes the forthcoming ISO Standard for attribute skip-lot sampling, and v. Collani derives an alpha-optimal version of the Military Standard 105 D. Schneider and Wilrich have a strong case against cost optimal Bayesian sampling plans. Ohta and Furukawa deal with a new approach for calculating the operating characteristic of sequential sampling plans by attributes. Prematurely terminated sequential life tests for Military Standard 781 C are introduced by Derman, Lieberman and Schechner. Baillie extends the univariate methods for sampling inspection by variables to the multivariate case. A sampling inspection system for incoming batches based on relational databases is discussed by Lenz. The second group of papers deals with process quality control and continuous inspection. Ladany comes with a practical example of the engagement of a mini robot in process quality control . Shahani and Senna give some basic results for a two test scheme for the detection of failure of a production process, and Bergman suggests a control chart which is an improvement of an acceptance control chart. Montgomery, Gardiner and Pizzano discuss some practical aspects of the use of CUSUM charts and geometric moving average control charts, Wadsworth and Wasserman present a modified CUSUM procedure as a continuous sampling scheme, and Rendtel uses a generalized CUSUM-scheme to control the percent defective of a continuous production process. Heuristic economical designs for and R control charts are proposed by Saniga. Arnold designs and compares control charts based on the minimax principle. Woodall shows that the usually ignored statistical performance of economically optimal control charts can often be greatly improved. Murugesan and Hassan investigate the design of interrelated manufacturing and quality systems for multistage nonserial production.

Frontiers in Statistical Quality Control

Peter-Theodor Wilrich G. Barry Wetherill Hans-Joachim Lenz

A number of advances have taken place in panel data analysis during the pastthree decades and it continues to be one of the most active areas of research. This volume contains 13 significant contributions focusing on modelling strategies, data issues, theoretical analysis and applications. Applied econometrics papers on the economics of labor, health, telecommunications, finance and macroeconomics are provided as well as a survey of recent theoretical developments in panal data analysis. Contributors include both well known scholars and younger researchers from Australia, Canada, Europe and the United States of America.

Panel Data Analysis (Studies in Empirical Economics)

Baldev Raj Badi H. Baltagi

The Role of the Computer in Statistics David Cox Nuffield College, Oxford OXIINF, U.K. A classification of statistical problems via their computational demands hinges on four components (I) the amount and complexity of the data, (il) the specificity of the objectives of the analysis, (iii) the broad aspects of the approach to analysis, (ill) the conceptual, mathematical and numerical analytic complexity of the methods. Computational requi rements may be limiting in (I) and (ill), either through the need for special programming effort, or because of the difficulties of initial data management or because of the load of detailed analysis. The implications of modern computational developments for statistical work can be illustrated in the context of the study of specific probabilistic models, the development of general statistical theory, the design of investigations and the analysis of empirical data. While simulation is usually likely to be the most sensible way of investigating specific complex stochastic models, computerized algebra has an obvious role in the more analyti cal work. It seems likely that statistics and applied probability have made insufficient use of developments in numerical analysis associated more with classical applied mathematics, in particular in the solution of large systems of ordinary and partial differential equations, integral equations and integra-differential equations and for the ¢raction of "useful" in formation from integral transforms. Increasing emphasis on models incorporating specific subject-matter considerations is one route to bridging the gap between statistical ana.

Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics

Joe Whittaker Yadolah Dodge

The papers assembled in this book were presented at the biannual symposium of Inter national Association for Statistical Computing in Neuchcitel, Switzerland, in August of 1992. This congress marked the tenth such meeting from its inception in 1974 at Vienna and maintained the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. It was gratifying to see how well the groups of theoretical statisti cians, software developers and applied research workers were represented, whose mixing is an event made uniquely possible by this symposium. While maintaining traditions certain new features have been introduced at this con ference: there were a larger number of invited speakers; there was more commercial sponsorship and exhibition space; and a larger body of proceedings have been published. The structure of the proceedings follows a standard format: the papers have been grouped together according to a rough subject matter classification, and within topic follow an approximate aphabetical order. The papers are published in two volumes ac cording to the emphasis of the topics: volume I gives a slight leaning towards statistics and modelling, while volume II is focussed more on computation; but this is certainly only a crude distinction and the volumes have to be thought of as the result of a single en terprise.

Computational Statistics: Volume 2: Proceedings of the 10th Symposium on Computational Statistics, COMPSTAT, Neuchâtel, Switzerland, August 1992

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