Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1076
Book Description
Includes subject section, name section, and 1968-1970, technical reports.
Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1076
Book Description
Includes subject section, name section, and 1968-1970, technical reports.
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1076
Book Description
Includes subject section, name section, and 1968-1970, technical reports.
How to Lie with Statistics
Author: Darrell Huff
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144
Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144
Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Classic Topics on the History of Modern Mathematical Statistics
Author: Prakash Gorroochurn
Publisher: John Wiley & Sons
ISBN: 1119127939
Category : Mathematics
Languages : en
Pages : 776
Book Description
"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 X2 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.
Publisher: John Wiley & Sons
ISBN: 1119127939
Category : Mathematics
Languages : en
Pages : 776
Book Description
"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 X2 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.
Statistical Report on Education in Canada
National Library of Medicine Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages :
Book Description
First multi-year cumulation covers six years: 1965-70.
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages :
Book Description
First multi-year cumulation covers six years: 1965-70.
The Making of DSM-III®
Author: Hannah Decker PhD
Publisher: Oxford University Press
ISBN: 0199974403
Category : Medical
Languages : en
Pages : 466
Book Description
In 1973, the American Psychiatric Association decided to publish a revised edition of their Diagnostic and Statistical Manual (DSM). There was great hope that a new manual would display psychiatry as a scientific field and aid in combating the attacks of an aggressive anti-psychiatry movement that had persisted for more than a decade. The Making of DSM-III® is a book about the manual that resulted in 1980-DSM-III-a far-reaching revisionist work that created a revolution in American psychiatry. Its development precipitated a historic clash between the DSM-III Task Force--a group of descriptive, empirically oriented psychiatrists and psychologists--and the psychoanalysts the Task Force was determined to dethrone from their dominance in American psychiatry. DSM-III also inaugurated an era in which it and the diagnostic manuals that followed played enormous roles in the daily lives of persons and organizations all over the world, for the DSMs have been translated into many languages. The radical revision process was led by the psychiatrist Robert L. Spitzer, a many-talented man of great determination, energy, and tactical skills, arguably the most influential psychiatrist of the second half of the 20th Century. Spitzer created as major a change in descriptive psychiatry and classification as had the renowned German psychiatrist Emil Kraepelin, almost a century earlier. Kraepelin had been the epochal delineator of dementia praecox from manic-depressive illness, the forerunners of modern schizophrenia and bipolar disorder. In her book, Hannah Decker portrays the many internal and external battles that roiled the creation of DSM-III and analyzes both its positive achievements and significant drawbacks. She also astutely explores the deleterious effects of the violent swings in scientific orientation that have dominated psychiatry over the past 200 years and are still alive today. Decker has written a revealing and exciting book that is based on archival sources never before used as well as extensive interviews with the psychiatrists and psychologists who have brought into being the psychiatry we know today.
Publisher: Oxford University Press
ISBN: 0199974403
Category : Medical
Languages : en
Pages : 466
Book Description
In 1973, the American Psychiatric Association decided to publish a revised edition of their Diagnostic and Statistical Manual (DSM). There was great hope that a new manual would display psychiatry as a scientific field and aid in combating the attacks of an aggressive anti-psychiatry movement that had persisted for more than a decade. The Making of DSM-III® is a book about the manual that resulted in 1980-DSM-III-a far-reaching revisionist work that created a revolution in American psychiatry. Its development precipitated a historic clash between the DSM-III Task Force--a group of descriptive, empirically oriented psychiatrists and psychologists--and the psychoanalysts the Task Force was determined to dethrone from their dominance in American psychiatry. DSM-III also inaugurated an era in which it and the diagnostic manuals that followed played enormous roles in the daily lives of persons and organizations all over the world, for the DSMs have been translated into many languages. The radical revision process was led by the psychiatrist Robert L. Spitzer, a many-talented man of great determination, energy, and tactical skills, arguably the most influential psychiatrist of the second half of the 20th Century. Spitzer created as major a change in descriptive psychiatry and classification as had the renowned German psychiatrist Emil Kraepelin, almost a century earlier. Kraepelin had been the epochal delineator of dementia praecox from manic-depressive illness, the forerunners of modern schizophrenia and bipolar disorder. In her book, Hannah Decker portrays the many internal and external battles that roiled the creation of DSM-III and analyzes both its positive achievements and significant drawbacks. She also astutely explores the deleterious effects of the violent swings in scientific orientation that have dominated psychiatry over the past 200 years and are still alive today. Decker has written a revealing and exciting book that is based on archival sources never before used as well as extensive interviews with the psychiatrists and psychologists who have brought into being the psychiatry we know today.
120 Years of American Education
U.S. Government Research Reports
Fisher, Neyman, and the Creation of Classical Statistics
Author: Erich L. Lehmann
Publisher: Springer Science & Business Media
ISBN: 1441995005
Category : Mathematics
Languages : en
Pages : 123
Book Description
Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.
Publisher: Springer Science & Business Media
ISBN: 1441995005
Category : Mathematics
Languages : en
Pages : 123
Book Description
Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.
Geostatistics
Author: Jean-Paul Chilès
Publisher: John Wiley & Sons
ISBN: 0470317833
Category : Mathematics
Languages : en
Pages : 718
Book Description
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Publisher: John Wiley & Sons
ISBN: 0470317833
Category : Mathematics
Languages : en
Pages : 718
Book Description
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.