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"Statistics History."
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The seven pillars of statistical wisdom
\"A summary of the seven most consequential ideas in the history of statistics, ideas that have proven their importance over a century or more and yet still define the basis of statistical science in the present day. Separately each was a radical idea when introduced, and most remain radical today when they are extended to new territory. Together they define statistics as a scientific field in a way that differentiates it from mathematics and computer science, fields which partner with statistics today but also maintain their separate identities. These \"pillars\" are presented in their historical context, and some flavor of their development and variety of forms is also given in historical context. The framework of these seven is quite different from the usual ways statistical ideas are arranged, such as in most courses on the subject, and thus they give a new way to think about statistics.\"--Provided by publisher.
Production and Consumption in English Households, 1600-1750
by
Dean, Darron
,
Whittle, Jane
,
Hann, Andrew
in
British History
,
Capital productivity
,
Capital productivity -- England -- Cornwall (County) -- History
2004,2002
This economic, social and cultural analysis of the nature and variety of production and consumption activities in households in Kent and Cornwall yields important new insights on the transition to capitalism in England.
Figuring out the past : the 3,495 vital statistics that explain world history
\"What was history's biggest empire? Or the tallest building of the ancient world? What was the plumbing like in medieval Byzantium? The average wage in the Mughal Empire? Where did scientific writing first emerge? What was the bloodiest ever ritual human sacrifice? We are used to thinking about history in terms of stories. Yet we understand our own world through data: cast arrays of statistics that reveal the workings of our societies. In Figuring Out the Past, radical historians Peter Turchin and Dan Hoyer dive into the numbers that reveal the true shape of the past, drawing on their own Seshat project, a staggeringly ambitious attempt to log every data point that can be gathered for every society that has ever existed. This book does more than tell the story of humanity: it shows you the big picture, by the numbers.\"--Amazon.com
Data analysis : what can be learned from the past 50 years
2011,2012
This book explores the many provocative questions concerning the fundamentals of data analysis.It is based on the time-tested experience of one of the gurus of the subject matter.Why should one study data analysis?How should it be taught?What techniques work best, and for whom?How valid are the results?How much data should be tested?.
The little data book on private sector development 2016
Contains reliable cross-country data on aspects of private sector development, crucial in planning for economic recovery and growth. In targeting increased exports and investment, many governments prioritize an improved climate for business as a basis to attract capital, create jobs, and provide basic services. The availability of cross-country data on the business environment has rapidly expanded in recent years, including data from the World Bank Group's Doing Business project, Enterprise Surveys, and the Entrepreneurship Snapshots. Included in this guide are indicators on the economic and social context, the investment climate, private sector investment, finance and banking, and infrastructure. Though a pocket guide cannot include all relevant variables, the included indicators provide users with a general understanding of the private sector in each country. Indicators displayed in the tables are defined in the glossary, which also lists data sources.
Classic topics on the history of modern mathematical statistics : from Laplace to more recent times
2016
\"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent.\"
—George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College
Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics.
Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features:
* A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X 2 and Student's t
* A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912
* Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher's works
* Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment
Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.
Statistics in Action
2014
Commissioned by the Statistical Society of Canada (SSC), this volume helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes.
British historical statistics
This reference book provides the major economic and social statistical series for the British Isles from the 12th century up until 1980-81. The text provides informed access to a wide range of economic data, without the labour of identifying sources or of transforming many different annual sources into a comparable time series.
Count the Dead
2022
The global doubling of human life expectancy between 1850 and 1950
is arguably one of the most consequential developments in human
history, undergirding massive improvements in human life and
lifestyles. In 1850, Americans died at an average age of 30. Today,
the average is almost 80. This story is typically told as a series
of medical breakthroughs-Jenner and vaccination, Lister and
antisepsis, Snow and germ theory, Fleming and penicillin-but the
lion's share of the credit belongs to the men and women who
dedicated their lives to collecting good data. Examining the
development of death registration systems in the United States-from
the first mortality census in 1850 to the development of the death
certificate at the turn of the century- Count the Dead
argues that mortality data transformed life on Earth, proving
critical to the systemization of public health, casualty reporting,
and human rights. Stephen Berry shows how a network of coroners,
court officials, and state and federal authorities developed
methods to track and reveal patterns of dying. These officials
harnessed these records to turn the collective dead into informants
and in so doing allowed the dead to shape life and death as we know
it today.