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Author: Yadolah Dodge
Publisher: Oxford University Press, USA
ISBN: 9780199206131
Category : Business & Economics
Languages : en
Pages : 516
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Book Description
This is the new-in-paperback edition of The Oxford Dictionary of Statistical Terms, the much-awaited sixth edition of the acclaimed standard reference work in statistics, published on behalf of the International Statistical Institute. The first edition, known as the Dictionary of Statistical Terms, was edited in 1957 by the late Sir Maurice Kendall and the late Dr W.R. Buckland. As one of the first dictionaries of statistics it set high standards for the subject, and became a well-respected reference. This edition has been carefully updated and extended to include the most recent terminology and techniques in statistics. Significant revision and expansion from an international editorial board of senior statisticians has resulted in a comprehenisive reference text which includes 30% more material than previous editions. Ideal for all who use statistics in the workplace and in research including all scientists and social scientists, especially in law, politics, finance, business, and history, it is an indispensable reference.
Author: Yadolah Dodge
Publisher: Oxford University Press, USA
ISBN: 9780199206131
Category : Business & Economics
Languages : en
Pages : 516
Get Book Here
Book Description
This is the new-in-paperback edition of The Oxford Dictionary of Statistical Terms, the much-awaited sixth edition of the acclaimed standard reference work in statistics, published on behalf of the International Statistical Institute. The first edition, known as the Dictionary of Statistical Terms, was edited in 1957 by the late Sir Maurice Kendall and the late Dr W.R. Buckland. As one of the first dictionaries of statistics it set high standards for the subject, and became a well-respected reference. This edition has been carefully updated and extended to include the most recent terminology and techniques in statistics. Significant revision and expansion from an international editorial board of senior statisticians has resulted in a comprehenisive reference text which includes 30% more material than previous editions. Ideal for all who use statistics in the workplace and in research including all scientists and social scientists, especially in law, politics, finance, business, and history, it is an indispensable reference.
Author:
Publisher:
ISBN: 9780192801005
Category :
Languages : en
Pages :
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Book Description
Author: Graham Upton
Publisher: Oxford University Press, USA
ISBN: 0199679185
Category : Mathematics
Languages : en
Pages : 497
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Book Description
This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.
Author: Maurice George Kendall
Publisher: Longman Publishing Group
ISBN:
Category : Mathematics
Languages : en
Pages : 232
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Book Description
Dictionary, data collecting and statistical methodology.
Author: Anne Kerr
Publisher: OUP Oxford
ISBN: 0191044784
Category : History
Languages : en
Pages : 1341
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Book Description
This wide-ranging dictionary contains a wealth of information on all aspects of history, from prehistory right up to the present day. Over 4,000 clear, concise entries include biographies of key figures in world history (living and dead), separate entries for every country in the world (summarising key historical events), and in-depth entries on religious and political movements, international organizations, and major conflicts and events and their after-effects. For this new edition, existing entries have been revised and updated to reflect the very latest global events including changes in leadership, wars, political situations, and the statistical information given for each country (population counts, currency, languages, religions). New entries have been included for key figures who have recently come to prominence and world events. The book also contains twenty-five detailed maps linked to key historical events and topics. These include the African slave trade, the Black Death, and the Normandy campaign. Also included are over 200 country maps. The dictionary is enhanced by entry-level web links which are accessed via a dedicated companion website. Encyclopedic in scope, this ambitious A to Z provides an excellent overview of world history both for students and anyone with an interest in the subject.
Author: Miquel S. Porta
Publisher: Oxford University Press
ISBN: 0199976724
Category : Medical
Languages : en
Pages : 377
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Book Description
This edition is the most updated since its inception, is the essential text for students and professionals working in and around epidemiology or using its methods. It covers subject areas - genetics, clinical epidemiology, public health practice/policy, preventive medicine, health promotion, social sciences and methods for clinical research.
Author: John Scott
Publisher: OUP Oxford
ISBN: 0191047554
Category : Social Science
Languages : en
Pages : 829
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Book Description
A consistent best-seller, the wide-ranging and authoritative Dictionary of Sociology was first published in 1994 and contains more than 2,500 entries on the terminology, methods, concepts, and thinkers in the field, as well as from the related fields of psychology, economics, anthropology, philosophy, and political science. For this fourth edition, Professor John Scott has conducted a thorough review of all entries to ensure that they are concise, focused, and up to date. Revisions reflect current intellectual debates and social conditions, particularly in relation to global and multi-cultural issues. New entries cover relevant contemporary concepts, such as climate change, social media, terrorism, and intersectionality, as well as key living sociologists. This Dictionary is both an invaluable introduction to sociology for beginners, and an essential source of reference for more advanced students and teachers.
Author: Ricardo A. Olea
Publisher:
ISBN: 9780195066890
Category : Reference
Languages : en
Pages : 202
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Book Description
Geostatistics is a branch of mathematics that deals with the sampling, analysis, interpretation and display of phenomena that fluctuate in space. Although not all geostatistical methods are probabilistic in nature, the most important accomplishments in the field have been in estimation and forecasting, extending probabilistic methods of stochastic processes and time series analysis to the spatial domain. This book gives the only available comprehensive collection of definitions of geostatistical terms. It lists more than 600 entries selected from the book and journal literature through the end of 1989. Where appropriate, multiple meanings have been included for specific terms. Cross-references abound to help the reader when the definitions of a word leads to the search for other terms. Although all the definitions are in English, equivalent terms are provided in alphabetized lists in Chinese, French, German, Greek, Portuguese, Russian and Spanish. This volume will provide a useful reference for students, scientists, engineers, and others concerned with the meaning of terms found in the geostatistical literature and heard in professional practice. Definitions and entries have been prepared with multiple levels of rigor and complexity, in order to provide help to a readership that may range from inexperienced practitioners to advanced researchers.
Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833
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Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309171148
Category : Medical
Languages : en
Pages : 221
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Book Description
Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.
