The County companion, diary, statistical chronicle and magisterial and official directory for 1879 (-87,89), ed. by J.R. Somers Vine
Author: sir John Richard Somers Vine
Publisher:
Published: 1879
Total Pages: 1098
ISBN-13:
DOWNLOAD EBOOK →Lanterna Rally
eBook PDF Download Digital Library
Statistical Annals
Annals of the Congress of the United States
Author: United States. Congress
Publisher:
Published: 1854
Total Pages: 722
ISBN-13:
DOWNLOAD EBOOK →STATISTICAL ANNALS
Author: Adam 1773-1825 Seybert
Publisher: Wentworth Press
Published: 2016-08-28
Total Pages: 840
ISBN-13: 9781372069727
DOWNLOAD EBOOK →This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Journal of the Royal Statistical Society
Author: Royal Statistical Society (Great Britain)
Publisher:
Published: 1927
Total Pages: 904
ISBN-13:
DOWNLOAD EBOOK →Published papers whose appeal lies in their subject-matter rather than their technical statistical contents. Medical, social, educational, legal,demographic and governmental issues are of particular concern.
Advances in Multivariate Statistical Methods
Author: Ashis Sengupta
Publisher: World Scientific
Published: 2009
Total Pages: 492
ISBN-13: 9812838244
DOWNLOAD EBOOK →This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc. Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.
The Statistical Work of the National Government
Author: Laurence Frederick Schmeckebier
Publisher:
Published: 1925
Total Pages: 600
ISBN-13:
DOWNLOAD EBOOK →Chi-squared Goodness-of-fit Tests for Censored Data
Author: Mikhail S. Nikulin
Publisher: John Wiley & Sons
Published: 2017-07-06
Total Pages: 158
ISBN-13: 1119427614
DOWNLOAD EBOOK →This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations. This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
Introduction to Robust Estimation and Hypothesis Testing
Author: Rand R. Wilcox
Publisher: Academic Press
Published: 2011-12-14
Total Pages: 608
ISBN-13: 0123870151
DOWNLOAD EBOOK →This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables. Covers latest developments in robust regression Covers latest improvements in ANOVA Includes newest rank-based methods Describes and illustrated easy to use software
Statistical Data Fusion
Author: Kedem Benjamin
Publisher: World Scientific
Published: 2017-01-24
Total Pages: 200
ISBN-13: 9813200200
DOWNLOAD EBOOK →This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources. The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.
