Free Trials in Statistics Reference Works
Free Trials in Statistics Reference Works
FREE TRIALS IN STATISTICS REFERENCE WORKS
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The most indispensable reference for statistical content.
Regularly updated with new articles and revisions to previously published articles, the Encyclopedia of Statistical Sciences includes the full text of the second print edition, the entire original edition, plus supplements and updates all rolled into one fully searchable site.
New methodologies, written by the world’s leaders in statistics, are introduced in an easy-to-read format, accessible by a powerful search engine. Extensions of existing articles have also been incorporated in an effort to showcase the fluidity of the field. Thorough cross-referencing facilitates quick access to specific information and provides an indispensable platform for further study and research.
Access Code: ESS0113
An unparalleled undertaking
The Wiley Encyclopedia of Operations Research and Management Science is the first multi-volume encyclopedia devoted to advancing the areas of operations research and management science.
Access Code: RMS0113
The definitive resource in the field of actuarial science
The Encyclopedia of Actuarial Science presents a timely and comprehensive body of knowledge designed to serve as an essential reference for the actuarial profession and all related business and financial activities, as well as researchers and students in actuarial science and related areas.
Drawing on the experience of leading international editors and authors from industry and academic research the encyclopedia provides an authoritative exposition of both quantitative methods and practical aspects of actuarial science and insurance.
The cross-disciplinary nature of the work is reflected not only in its coverage of key concepts from business, economics, risk, probability theory and statistics but also by the inclusion of supporting topics such as demography, genetics, operations research and informatics.
Access Code: EAS0113
The Encyclopedia of Biostatistics , 2nd Edition offers the definitive reference to support the development and use of statistical methods for addressing the problems and critical issues that confront scientists, practitioners and policy makers engaged in the life and medical sciences. With the growing importance and application of biostatistics, reflected in the increasing number of statisticians employed in the pharmaceutical industry, healthcare sector and medical schools, this new edition will find widespread application in basic medical science; the planning, financing and distribution of health care; and the measurement of health care status and progress in the population.
Building on the widely acclaimed achievement of the First Edition, the distinguished editorial team has commissioned new material and revised existing articles to ensure that the coverage of key topics is completely up to date and comprehensive. Among the areas receiving increased attention are Bayesian methodology and applications, and modeling the spread of infectious diseases and the development of epidemics. In addition the Encyclopedia now includes many contributions that focus on the rapid growth of bioinformatics and its pivotal role in studying the human genome.
Praise for the First Edition
“…a resource beyond compare...the author index reads like a contemporary Who's Who...nothing in biostatistics is left uncovered...unsurpassed in quality and quantity"
— British Medical Journal
"An unsurpassed addition to the statistical literature …The present scope of statistics in medical research is nowhere more manifest …the coverage is breathtaking"
— International Journal of Epidemiology
Access Code: EBS0113
A comprehensive overview of environmetric research and its applications...
The Encyclopedia of Environmetrics covers the development and application of quantitative methods in the environmental sciences. It provides essential tools for understanding, predicting, and controlling the impacts of agents, both man-made and natural, which affect the environment. Basic and applied research in this area covers a broad range of topics. Primary among these are the quantitative sciences, such as statistics, probability and applied mathematics, chemometrics, and econometrics. Applications are also important, for example in, ecology and environmental biology, public health, atmospheric science, geology, engineering, risk management, and regulatory/governmental policy amongst others.
Presenting state of the art information in a readable, highly accessible style, the scope and coverage provided by the Encyclopedia of Environmetrics will ensure its place as the landmark reference for the many scientists, educators, and decision-makers working across this multidisciplinary field.
An essential reference tool for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences, the Encyclopedia of Environmetrics brings together for the first time, comprehensive coverage of the full range of topics, techniques and applications covered by this multidisciplinary field. There is currently no central reference source which addresses the needs of this multidisciplinary community. This new Encyclopedia will fill this gap by providing a comprehensive source of relevant fundamental concepts in environmetric research, development and applications for statisticians, mathematicians, economists, environmentalists, ecologist, government officials and policy makers.
Access Code: EEM0113
The first modern, comprehensive and in-depth resource covering the huge variety of disciplines involved.
This resource draws together the varied intellectual threads pertaining to this research field in the hope that risk analysts in one area can gain from the experience and expertise of those in other disciplines. The statistical theory that underpins risk management is enriched by bringing together the special features of each particular area. Indeed its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military, and practicing statisticians. Drawing on the expertise of world-renowned authors and editors in the diverse fields of application, the encyclopedia provides up-to-date material on:
· Risk management
· Financial / credit risk
· Computer security
· Reliability – mathematical and statistical methods
· Reliability – Management Science
· Bayesian / decision theory
· Environmental risk
· Clinical risk
· Public health / epidemiology of risk
· Toxic substances / chemical risk
· Insurance / actuarial risk
· Homeland security
Access Code: QRA0113
The Encyclopedia of Statistics in Behavioral Science presents accessible, high quality articles that are lively, statistically sound and with many practical examples. It provides complete coverage of current statistical methods ranging through confirmatory factor analysis, structural equation modeling, random effect/multilevel modeling, generalized linear models, computationally intensive methods such as the bootstrap, and many more.
A comprehensive and accessible reference for all behavioral science research and development, The Encyclopedia of Statistics in Behavioral Science represents an invaluable addition to both the psychological and statistical literature, forming an essential reference work for researchers, educators and students in the fields of applied psychology, sociology, market research, consumer behavior, management science, decision making and human resource management.
The Encyclopedia of Statistics in Behavioral Science encompasses the refined statistical concepts and techniques that are essential to the advancement of psychology and its ever-widening fields of application.
Access Code: SBS0113
"I must say that this encyclopedia is a must-have for everyone working on quality and reliability. It is an excellent source of information." (Technometrics)
In today’s climate of intense industrial competition, certification and qualification are increasingly important. Statistical techniques in quality engineering play a vital role in these processes.
To aid you in your work, Encyclopedia of Statistics in Quality and Reliability offers a vital knowledge source to support the development and implementation of statistical tools. It provides in-depth coverage of a wide variety of topics, including Six Sigma, Data Mining, Process Capability and Measurement Systems Analysis.
Including a large selection of case studies and practical suggestions, it appeals to professionals applying statistical methods in industry as well as to academics. Indeed, the application of statistical methods has become well established in aerospace, automotive, electronics, pharmaceutical, semiconductor and other manufacturing industries. In recent years, statistical methods have also been explored by banks, insurance companies, government agencies and healthcare organizations interested in improving the quality of their services to customers.
Edited by top experts in the field, the Encyclopedia has up-to-date information on modern statistical methods and offers a practical orientation of subjects. The Encyclopedia will provide an invaluable guide and reference for all engineers, managers and administrators responsible for improving performance within their own particular field of activity.
Access Code: SQR0113
The online site for the definitive reference on all facets of clinical trials.
Here you'll find more than 450 entries from the world's leading experts in the field on the basic concepts, methodologies, and applications in clinical trials. The range of topics includes: basic statistical concepts, design and analysis of clinical trials, ethics, regulatory issues, and methodologies for clinical data management and analysis.
Access Code: ECT0113
The Handbook of Statistical Genetics Online provides comprehensive coverage of this thriving area of research, in a dynamic online format. An important reference that contributes to developing methods for exploiting the new data explosion sparked by the Human Genome Project, the Handbook is an invaluable resource for statisticians interested in genetic applications and geneticists seeking a deeper knowledge of statistical methods in their field.
Access Code: HSG0113
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