Author :
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 20,57 MB
Release : 2005-12-16
Category : Mathematics
ISBN : 0471743917
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author :
Publisher : John Wiley & Sons
Page : 706 pages
File Size : 18,97 MB
Release : 2005-12-16
Category : Mathematics
ISBN : 0471743844
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author : Miodrag Lovric
Publisher : Springer Science & Business Media
Page : 0 pages
File Size : 45,20 MB
Release : 2010-12-01
Category : Mathematics
ISBN : 3642048978
The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
Author : Samuel Kotz
Publisher :
Page : 888 pages
File Size : 37,88 MB
Release : 1982
Category : Mathematical statistics
ISBN :
Author : Neil J. Salkind
Publisher : SAGE
Page : 1417 pages
File Size : 46,12 MB
Release : 2007
Category : Psychology
ISBN : 1412916119
Publisher Description
Author :
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 12,74 MB
Release : 2005-12-16
Category : Mathematics
ISBN : 0471744069
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author : Yadolah Dodge
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 23,23 MB
Release : 2008-04-15
Category : Mathematics
ISBN : 0387317422
The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community using statistics in medicine, engineering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology and biographies of famous statisticians. The more than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions. This reference will be an enduring resource for locating convenient overviews about this essential field of study.
Author : Michael Lewis-Beck
Publisher : SAGE
Page : 460 pages
File Size : 14,30 MB
Release : 2004
Category : Reference
ISBN : 9780761923633
Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.
Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 12,96 MB
Release : 2023-01-20
Category : Computers
ISBN : 1799892212
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author : Andrew B. Lawson
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 43,35 MB
Release : 2013-07-08
Category : Medical
ISBN : 1118723171
Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.
