Studies In The History Of Statistical Method
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Studies In The History Of Statistical Method
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Author : Helen Mary Walker
language : en
Publisher: New York : Arno Press
Release Date : 1975
Studies In The History Of Statistical Method written by Helen Mary Walker and has been published by New York : Arno Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematics categories.
Bibliografi s. 193-215
Studies In The History Of Statistical Method
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Author : Helen Mary Walker
language : en
Publisher:
Release Date : 1987
Studies In The History Of Statistical Method written by Helen Mary Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Statistics categories.
Studies In The History Of Statistical Method
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Author : Helen M. Walker
language : en
Publisher:
Release Date : 1931
Studies In The History Of Statistical Method written by Helen M. Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1931 with categories.
Studies In The History Of Statistical Methods With Special Reference To Certain Educational Problems
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Author : Helen Mary Walker
language : en
Publisher:
Release Date : 1929
Studies In The History Of Statistical Methods With Special Reference To Certain Educational Problems written by Helen Mary Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1929 with categories.
The History Of Statistics
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Author : Stephen M. Stigler
language : en
Publisher: Harvard University Press
Release Date : 1990-03-01
The History Of Statistics written by Stephen M. Stigler and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-01 with History categories.
This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role in the social sciences? How could the introduction of least squares predate the discovery of regression by more than eighty years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galton’s probability machine (the quincunx) provide him with the key to the major advance of the last half of the nineteenth century? Stigler’s emphasis is upon how, when, and where the methods of probability theory were developed for measuring uncertainty in experimental and observational science, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (conceptual or mathematical) that retarded the growth of mathematical statistics and the conceptual developments that permitted major breakthroughs. Statisticians, historians of science, and social and behavioral scientists will gain from this book a deeper understanding of the use of statistical methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the humanistic study of science.
Quantitative Methods For Historians
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Author : Konrad H. Jarausch
language : en
Publisher: UNC Press Books
Release Date : 2016-08-01
Quantitative Methods For Historians written by Konrad H. Jarausch and has been published by UNC Press Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with History categories.
The pioneering texts in quantitative history were written over two decades ago, but as a command of methodological context, computer experience, and statistical literacy have become increasingly important to the study of history, the need for an introductory text addressing these matters has increased. Quantitative Methods for Historians is a theoretical and practical guide for the application of quantitative analysis in historical research. It is designed for students of history and related disciplines who are curious about the possibilities of quantification and want to learn more about its recent development. Integrating the use of the statistical packages SAS and SPSS with the quantitative method, the authors discuss techniques for defining a problem, proceed to the building of a data set and the use of statistical methods, and conclude with the interpretation of results. The data set section concentrates on the basics of formalized research, discussing the coding process and the more complicated problems of data transformation and linkage. The statistical parts systematically build upon traditional fundamentals and introduce new analytical techniques for qualitative variables. Intended as a working introduction to quantitative methods, this guide also provides additional information on advanced statistical techniques and discusses questions of historical computing, reflecting critically on the proper role of quantitative methods.
History Theory And Technique Of Statistics
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Author : August Meitzen
language : en
Publisher:
Release Date : 1891
History Theory And Technique Of Statistics written by August Meitzen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1891 with Statistics categories.
Time Counts
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Author : Gregory Wawro
language : en
Publisher: Princeton University Press
Release Date : 2022-05-03
Time Counts written by Gregory Wawro and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Political Science categories.
How to study the past using data Quantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past. Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context—features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference. Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.
Statistical Methods In E Commerce Research
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Author : Wolfgang Jank
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-29
Statistical Methods In E Commerce Research written by Wolfgang Jank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-29 with Mathematics categories.
This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.
Statistics In Science
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Author : R. Cooke
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Statistics In Science written by R. Cooke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
An inference may be defined as a passage of thought according to some method. In the theory of knowledge it is customary to distinguish deductive and non-deductive inferences. Deductive inferences are truth preserving, that is, the truth of the premises is preserved in the con clusion. As a result, the conclusion of a deductive inference is already 'contained' in the premises, although we may not know this fact until the inference is performed. Standard examples of deductive inferences are taken from logic and mathematics. Non-deductive inferences need not preserve truth, that is, 'thought may pass' from true premises to false conclusions. Such inferences can be expansive, or, ampliative in the sense that the performances of such inferences actually increases our putative knowledge. Standard non-deductive inferences do not really exist, but one may think of elementary inductive inferences in which conclusions regarding the future are drawn from knowledge of the past. Since the body of scientific knowledge is increasing, it is obvious that the method of science must allow non-deductive as well as deductive inferences. Indeed, the explosive growth of science in recent times points to a prominent role for the former. Philosophers of science have long tried to isolate and study the non-deductive inferences in science. The inevitability of such inferences one the one hand, juxtaposed with the poverty of all efforts to identify them, constitutes one of the major cognitive embarrassments of our time.