Encyclopedia Of Statistical Sciences Lindeberg Condition To Multitrait Multimethod Matrices

Encyclopedia of Statistical Sciences: Lindeberg condition to multitrait-multimethod matrices

Encyclopedia of Statistical Sciences, Lindberg Conditions to Multitrait-Multimethod Matrices

This book brings together, in a ready-access encyclopedic format, theories, methods, applications and historical background in the statistical sciences. More than 4000 entries by statisticians, mathematicians and educators in the development of statistics cover all principle subfields including probability theory, statistical distribution theory, computational methods, sampling survey methods, decision theory, sequential analysis and multivariable analysis. The book is also fully indexed.

Advances in the Theory and Practice of Statistics

In honor of Samuel Kotz, an international collection of articles on the latest advances in statistics. This tribute to Samuel Kotz features articles by eminent statisticians from around the world, all recognizing the lifetime of accomplishments of one of the premier statisticians of our time. Centered on distributions, models, and their applications, this book highlights some recent developments in both theory and applications of statistics. Editors Norman L. Johnson and N. Balakrishnan, both of whom have collaborated extensively with Samuel Kotz, have gathered contributions from theoreticians and practitioners in 18 countries, giving the volume a global perspective. Each article is classified into one of 10 areas in the theory and practice of statistics. The areas highlighted in this volume are: Statistics in the world. Models. Biostatistics. Testing and estimation. Univariate distributions. Multivariate distributions. Characterizations. Probability. Bayes theory. Descriptive statistics. Many of the articles in the volume highlight Samuel Kotz's pioneering and fundamental contributions to these areas. Commemorative articles by those who knew and worked with Samuel Kotz, as well as the detailed exploration of classical and new directions in statistical research, make this volume an essential addition to any statistics library.