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Joint Statistical Papers of Akahira and Takeuchi
"This volume consists of 44 joint papers on statistical inference ... from 1975 to 2001"--P. vii.
Made in Japan
For three years, seventeen university researchers worked with representatives of thirty-four corporations to analyze the present state of Japanese manufacturing and to identify the challenges Japan will face in the twenty-first century. The result of their study is Made in Japan. Winner of the Shingo Research and Professional Publication Prize for 1999In 1989 the MIT Press published Made in America, a landmark study by The MIT Commission on Industrial Productivity, an interdisciplinary group of MIT faculty members. The study analyzed the strengths and weaknesses of American industry and set forth a strategic plan for revitalizing American productivity. Inspired by the MIT study, the Japan Te...
Model Selection and Inference
Statisticians and applied scientists must often select a model to fit empirical data. This book discusses the philosophy and strategy of selecting such a model using the information theory approach pioneered by Hirotugu Akaike. This approach focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. The book includes practical applications in biology and environmental science.
The Inverse Gaussian Distribution
This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the book by Chhikara and Folks, a considerable number of publications in both theory and applications of the inverse Gaussian law have emerged thereby justifying the need for a comprehensive treatment of the issues involved. This book is divided into two sections and fills up the gap updating the material found in the book of Chhikara and Folks. Part I contains seven chapters and covers distribution th...
Selected collected works
Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, m...
Block Designs: A Randomization Approach
This book will be of interest to mathematical statisticians and biometricians interested in block designs. The emphasis of the book is on the randomization approach to block designs. After presenting the general theory of analysis based on the randomization model in Part I, the constructional and combinatorial properties of design are described in Part II. The book includes many new or recently published materials.
Global Environmental Security
Z. Sonoda It is my great honour to declare the opening of the 2nd IBM Japan International Symposium on 'The Global Environment'. It is especially my honour, on behalf of IBM Japan, to welcome all of you most distinguished experts of the world. Historically, IBM Japan has maintained a strong interest in the protection of the global environment, not only as a member of the industrial community, but also as a member of the global community where environmental disruption has become more and more significant and of common concern. In 1990, we held the first environmental symposium on 'Global Warming'. It offered a stage to which both social and natural scientists could bring problems about 'The G...
Random and Quasi-Random Point Sets
This volume is a collection of survey papers on recent developments in the fields of quasi-Monte Carlo methods and uniform random number generation. We will cover a broad spectrum of questions, from advanced metric number theory to pricing financial derivatives. The Monte Carlo method is one of the most important tools of system modeling. Deterministic algorithms, so-called uniform random number gen erators, are used to produce the input for the model systems on computers. Such generators are assessed by theoretical ("a priori") and by empirical tests. In the a priori analysis, we study figures of merit that measure the uniformity of certain high-dimensional "random" point sets. The degree o...
