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
This classic text, first published in 1972, is designed for graduate physics courses in statistical mechanics. The second edition, published in 1996, incorporated three comprehensive chapters on phase
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 text introduces statistical language processing techniques—word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classe
Hilary Kornblith presents an account of inductive inference that addresses both itsmetaphysical and epistemological aspects. He argues that inductive knowledge is possible by virtueof the fit between
Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and
Thoroughly revised and updated, the third edition of Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking retains and refines the core perspectives of the previous editions: a focu
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 more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-t
Sensory discriminative analysis forms a fundamental type of methodology and is used widely in sensory and consumer research. Sensory Discrimination Tests and Measurements: Statistical Principles, Proc
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
Aiming his work simultaneously at advance undergraduate students and communications engineers, O'Neill (physics, Worcester Polytechnic Institute) presents an introduction to classical statistical opti
Statistical Shape Analysis involves methods for the geometrical study of random objects where location, rotation and scale information can be removed. The book lays the foundations of the subject disc
Explains the conceptual foundations of statistical analyses (particularly inferential statistics), emphasizing the research context. Teaches students how to ``work the formulas'' by presenting cleary
Offers a new, probabilistic approach to statistical mechanics by incorporating Bose-Einstein and Fermi-Dirac statistics. Includes Boltzmann's principle, black-body radiation, quantum statistics, conju
Seeking to introduce molecular thermodynamics in a way that is more congruent with the present day, it approaches the subject from a statistical basis, rather than traditional phenomenological bulk ph
This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data anal
Mitra (management, Auburn U.) introduces the foundations of methods of statistical quality assurance and statistical process control for the manufacturing and service industries. After introducing the
Higher Education institutions around the world are facing a situation of diminishing resources and increasing state inference. How have law schools reacted to this? Is there an increasing movement tow
Introduces multiconductor-line theory and respective modal analysis. Describes the application of a perturbation theory approach for the inference of propagation modes of transmission-line structures.
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
The definitive one-volume guide to all sub-Saharan African countries, providing invaluable economic, political, statistical and directory data.General SurveyThoroughly revised and updated analytical a
The definitive one-volume guide to all sub-Saharan African countries, providing invaluable economic, political, statistical and directory data.General SurveyThoroughly revised and updated analytical a
This extensive directory provides statistical profiles of 124 top US cities with populations between 25,000 and 125,000. Most, but not all, of the cities profiled lie adjacent to major metropolitan ar
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
This dictionary is intended to serve as a stand-by reference for social and behavioral science students who may encounter unfamiliar statistical and methodological terms and concepts while reading res
《金融市場統計力學(第3版)》內容簡介：The present third edition of the statistical mechanics of financial markets is published only four years after the first edition. the success of the book highlights the interest in
《統計模型:理論和實踐(英文版·第2版)》內容簡介：Some books are correct. Some are clear. Some are useful. Some are entertaining. Few are even two of these. This book is all four. Statistical Models: Theory and Practice is l
Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw concl
Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted? Today, number
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
As the SASc programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming langua
R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians.Destined to become an instant c
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
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
The first edition of the Encyclopedia of Biostatistics proved an outstanding achievement in scientific publishing. A truly international work, its coverage ranges through statistical issues pertinent
「統計製程管制」(Statistical Process Control，簡稱SPC)，就是以「統計學」為理論基礎，設計出管理、生產、製程資料的收集、分析、解釋、推論、改善等方法，使製程的「產出」品質穩定，繼而超出現有目標。若發現異常，則以統計方法去診斷原因，又以統計的方法去矯正，使其恢復既有的水準，稱之為「統計製程診斷與矯正」(Statistical Process Diagnosis and
The relationships （both conceptual and mathematical） between Bayesian analysis and statistical decision theory are so strong that it is somewhat unnatural to learn one without the other. Nevertheless,
Some ten years ago, when completing with J.-B. Zuber a previous text on Quantum Field Theory, the senior author was painfully aware that little mention was made that methods in statistical physics and
