Industrial Structure Statistics 1999 Vol. 1: Core Data - Vol. 2: Energy Consumption PDF Download
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Author: OECD Publisher: OECD Publishing ISBN: 9264081054 Category : Languages : en Pages : 796
Book Description
This sixteenth edition of Industrial Structure Statistics is in two parts. Volume 1 provides official annual data for detailed industrial sectors (manufacturing, non-manufacturing, and construction) as well as for detailed service sectors, covering ...
Author: OECD Publisher: OECD Publishing ISBN: 9264081054 Category : Languages : en Pages : 796
Book Description
This sixteenth edition of Industrial Structure Statistics is in two parts. Volume 1 provides official annual data for detailed industrial sectors (manufacturing, non-manufacturing, and construction) as well as for detailed service sectors, covering ...
Author: Gilbert Faccarello Publisher: Edward Elgar Publishing ISBN: 1785367366 Category : Business & Economics Languages : en Pages : 488
Book Description
This unique troika of Handbooks provides indispensable coverage of the history of economic analysis. Edited by two of the foremost academics in the field, the volumes gather together insightful and original contributions from scholars across the world. The encyclopaedic breadth and scope of the original entries will make these Handbooks an invaluable source of knowledge for all serious students and scholars of the history of economic thought.
Author: Stephen M. Stigler Publisher: Harvard University Press ISBN: 0674256859 Category : History Languages : en Pages : 436
Book Description
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.
Author: F. Rothenbacher Publisher: Springer ISBN: 1137433663 Category : Social Science Languages : en Pages : 846
Book Description
The European Population, 1850-1945 is the first volume of two on demographics. The second volume will appear as part of the Societies of Europe series in 2003 and will cover changes until the year 2000. The European Population, 1850-1945 is a comparative and historical data handbook and accompanying CD-ROM presenting series data on demographic developments, population and household structures for the countries of Western and Central Europe. All major fields of demographic change are covered: fertility, mortality, marriage, and divorce. Population figures are given for each population census by sex, civil status and age. Major demographic developments within the family are described providing a commentary on the main population structures and trends in Europe since the 19th century.
Author: Gareth James Publisher: Springer Nature ISBN: 3031387473 Category : Mathematics Languages : en Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author: OECD
Author: OECD
Author: National Library of Medicine (U.S.)
Author: 
Author: National Library of Medicine (U.S.)
Author: Gilbert Faccarello
Author: 
Author: Stephen M. Stigler
Author: F. Rothenbacher
Author: Gareth James
Author: Library of Congress