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 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....
|Title||:||The History of Statistics: The Measurement of Uncertainty before 1900|
|Number of Pages||:||502 Pages|
|File Size||:||667 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
The History of Statistics: The Measurement of Uncertainty before 1900 Reviews
This book is regarded, as it should be, as the authoritative text on the history of statistics before 1900. The only point I have to add to what has already been said is that the work is best viewed as a prehistory of statistics. From its beginning in handling astronomical measurement errors and games of chance to its birth as its own discipline with the development of linear regression, Dr. Stigler expertly handles the intellectual concepts and mathematics which led to this genesis.
It is a good book for the history of statistics, until the 20th century.
As my professor, Stigler is very good at provoking students. It is an honor to use his book in class.
This is a very good book on the history of statistics. It presents the background for this complex topic in a very understandable way.
Excellent book. To me, this book is not simply an exposition of the history of statistics, but a way to understand statistics better via the challenges which historically motivated its development. The writing is clear, precise, and insightful.
This is an outstanding book. As a Statistics student, I can't imagine reading anything better on this subject. The math in the book is in-depth enough such that I can relate historical developments of various statistical theory and technique to what I have done (and, for that matter, that which I have yet to do) and it was possible to reproduce some of the calculations on my own (which was quite enjoyable). Overall, this is an excellent book--I can't recommend it enough.