The Bayesian revolution in statistics - where statistics is integrated with decisionmaking in areas such as management, public policy, engineering, and clinical medicine - is here tostay. Introduction
Aiming his work simultaneously at advance undergraduate students and communications engineers, O'Neill (physics, Worcester Polytechnic Institute) presents an introduction to classical statistical opti
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a v
This is a trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing
With its focus on data analysis, statistical reasoning, and the way statisticians actually work, "Introduction to the Practice of Statistics" has helped to revolutionize the way statistics are taught
A concise, comprehensive introduction to the topic of statistical physics of combinatorial optimization, bringing together theoretical concepts and algorithms from computer science with analytical met
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the m
Third Edition brings the text up to date with new material and updated references.New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation pro
A basic text on the theoretical foundations of information theory, for graduate students and engineers interested in electrical communications and for others seeking a general introduction to the fiel
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: t
A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciencesCD-ROM performs 30 statistical tests Don't be afraid of biostatistics anymore! Pri
Holistic approach to understanding medical statisticsThis hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based
This text provides a concise, non-mathematical introduction to the statistical principles that health care workers and medical students need to be familiar with when reading about clinical research. T
The book contains a number of articles on nonlinear dynamic modeling in economics. They cover topics such as chaos, robustness, statistical inference and undecidability. They have been selected to be
Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences
A modern introduction to the physical principles of electronic ceramic materials. Describes theory in structural terms via the language of quantum mechanics and statistical mechanics, bridging the gap
