Author:
Publisher: Wiley-Interscience
ISBN: 9780471744078
Category : Mathematics
Languages : en
Pages : 640

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Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES

Author:
Publisher: John Wiley & Sons
ISBN: 0471743917
Category : Mathematics
Languages : en
Pages : 722

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Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES

Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 0

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Book Description
"Countless professionals and students who use statistics in their work rely on the multi-volume Encyclopedia of Statistical Sciences as a superior and unique source of information on statistical theory, methods, and applications. This new edition (available in both print and on-line versions) is designed to bring the encyclopedia in line with the latest topics and advances made in statistical science over the past decade--in areas such as computer-intensive statistical methodology, genetics, medicine, the environment, and other applications. Written by over 600 world-renowned experts (including the editors), the entries are self-contained and easily understood by readers with a limited statistical background. With the publication of this second edition in 16 printed volumes, the Encyclopedia of Statistical Sciences retains its position as a cutting-edge reference of choice for those working in statistics, biostatistics, quality control, economics, sociology, engineering, probability theory, computer science, biomedicine, psychology, and many other areas."--Publisher's website.

Author:
Publisher: John Wiley & Sons
ISBN: 0471744069
Category : Mathematics
Languages : en
Pages : 562

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Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES

Author:
Publisher: John Wiley & Sons
ISBN: 0471743844
Category : Mathematics
Languages : en
Pages : 706

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Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES

Author:
Publisher: John Wiley & Sons
ISBN: 0471744034
Category : Mathematics
Languages : en
Pages : 242

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Book Description
ENCYCLOPEDIA OF STATISTICAL SCIENCES

Author: Walter W. Piegorsch
Publisher: John Wiley & Sons
ISBN: 1119043573
Category : Mathematics
Languages : en
Pages : 488

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Book Description
A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.

Author: M. Belongia
Publisher: Springer
ISBN: 0230288235
Category : Business & Economics
Languages : en
Pages : 331

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Book Description
The leading researchers from central banks and universities around the world debate issues central to the performance of Divisia monetary aggregates both in theory and in practice. The overall conclusion is that Divisia monetary aggregates outperform their simple sum counterparts in a wide range of applications the world over. The book is the first volume-length study of empirical data and theoretical research on the subject.

Author: Joseph L. Gastwirth
Publisher: Springer Science & Business Media
ISBN: 1461212162
Category : Social Science
Languages : en
Pages : 454

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Book Description
Expert testimony relying on scientific and other specialized evidence has come under increased scrutiny by the legal system. A trilogy of recent U.S. Supreme Court cases has assigned judges the task of assessing the relevance and reliability of proposed expert testimony. In conjunction with the Federal judiciary, the American Association for the Advancement of Science has initiated a project to provide judges indicating a need with their own expert. This concern with the proper interpretation of scientific evidence, especially that of a probabilistic nature, has also occurred in England, Australia and in several European countries. Statistical Science in the Courtroom is a collection of articles written by statisticians and legal scholars who have been concerned with problems arising in the use of statistical evidence. A number of articles describe DNA evidence and the difficulties of properly calculating the probability that a random individual's profile would "match" that of the evidence as well as the proper way to intrepret the result. In addition to the technical issues, several authors tell about their experiences in court. A few have become disenchanted with their involvement and describe the events that led them to devote less time to this application. Other articles describe the role of statistical evidence in cases concerning discrimination against minorities, product liability, environmental regulation, the appropriateness and fairness of sentences and how being involved in legal statistics has raised interesting statistical problems requiring further research.

Author: Jane Klavan
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110668467
Category : Language Arts & Disciplines
Languages : en
Pages : 250

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Book Description
The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.