This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections.
In Selected Proceedings of the Sheffield Symposium on Applied Probability , pp . 118–126 ( Eds . I. V. Basawa and R. L. Taylor ) . IMS Lecture Notes Monograph Ser . , Vol . 18. Hayward , CA. Johnson , N. L. , S. Kotz and A. W. Kemp ...
Hardbound. This volume serves as a source, reference and teaching supplement in econometrics, the branch of economics which is concerned with statistical methods applied to the empirical study of economic...
From the bird's eye to the microscope : A survey of new stylized facts of the intra - daily foreign exchange markets . Fin . & Stoch . 1 , 95–129 . Harrison , J. ( 1985 ) . Brownian Motion and Stochastic Flow Systems .
Hardbound. This volume of the Handbook of Statistics presents a state-of-the art exposition of current topics in signal/image processing. It provides an excellent balance between both theory and applications. The...
Bayesian methods for neural networks and related models. ... Advantages and disadvantages of using artifical neural networks versus logit regression for predicting medical outcomes. ... Neural Networks and Genome Informatics. Elsevier.
Notations and preliminaries; Generalized inverse of a matrix; Three basic types of g-inverses; Other special types of g-inverse; Projectors, idempotent matrices and partial isometry; Simulatneous reduction of a pair of...
本书内容包括:导论;简单线性回归模型;多重线性回归模型及其扩展;广义线性回归模型;确定的和随机的线性约束;广义回归模型中的预测;不完全数据集分析;稳健回归;分类相应变量模型 ...
Essays on Econometrics and Planning.
This volume presents an exposition of topics in industrial statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a source of information for practicing statisticians/industrial engineers.
Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to ...
It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.
Linear Statistical Inference and Its Applications
"I recommend this book for its extensive coverage of topics not easily found elsewhere and for its focus on applications".Zentralblatt MATH"The book is an excellent source on linear algebra, matrix theory and applications in statistics and ...