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Statistical Abstract of the United States, 1998

Author :

Publisher : Hoover's

Page : 0 pages

File Size : 38,87 MB

Release : 1998-11

Category : United States

ISBN : 9781573110501

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Book Description

Over 1,000 pages with information on American life -- who we are, where we live, what we do, what we eat and where we work. This valuable reference is filled with thousands of statistical tables covering 31 key areas ranging from demographics and government spending to transportation and construction. Within its pages you will find the answers to question such as: -- What are the biggest, fastest-growing and slowest U.S. industries? -- What is the rate of mortgage delinquency and foreclosure? -- How many new businesses are started each year? How many fail? -- What are the wealthiest and poorest areas of the country? -- How has the purchasing power of the dollar changed over time? -- How many U.S. companies have been acquired by foreign companies? -- What kind of Internet access services are being provided in public libraries? -- How many bankruptcy cases are filed in each state? -- What are the trends in corporate profits? -- What are the trends in corporate profits? -- Has the rate of marriage and divorce changed in this decade? -- How many people are employed in various types of retailing?



Statistical Abstract of the United States, 2012

Author : Census Bureau

Publisher : www.Militarybookshop.CompanyUK

Page : 1024 pages

File Size : 18,96 MB

Release : 2011-09

Category : Business & Economics

ISBN : 9781780394237

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Book Description

The Statistical Abstract of the United States, published since 1878, is the standard summary of statistics on the social, political, and economic organization of the United States. It is designed to serve as a convenient volume for statistical reference and as a guide to other statistical publications and sources. The latter function is served by the introductory text to each section, the source note appearing below each table, and Appendix I, which comprises the Guide to Sources of Statistics, the Guide to State Statistical Abstracts, and the Guide to Foreign Statistical Abstracts.







Statistical Power Analysis for the Behavioral Sciences

Author : Jacob Cohen

Publisher : Routledge

Page : 625 pages

File Size : 27,81 MB

Release : 2013-05-13

Category : Psychology

ISBN : 1134742770

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Book Description

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.





Health, United States, 2016, with Chartbook on Long-Term Trends in Health

Author : National Center for Health Statistics

Publisher : Government Printing Office

Page : 494 pages

File Size : 15,4 MB

Release : 2017-08-16

Category : Business & Economics

ISBN : 9780160939778

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Book Description

This annual overview report of national trends in health statistics contains a Chartbook that assesses the nation's health by presenting trends and current information on selected measures of morbidity, mortality, health care utilization and access, health risk factors, prevention, health insurance, and personal health-care expenditures. Chapters devoted to population characteristics, prevention, health risk factors, health care resources, personal health care expenditures, health insurance, and trend tables may provide the health/medical statistician, data analyst, biostatistician with additional information to complete experimental studies or provide necessary research for pharmaceutical companies to gain data for modeling and sampling. Undergraduate students engaged in applied mathematics or statistical compilations to graduate students completing biostatistics degree programs to include statistical inference principles, probability, sampling methods and data analysis as well as specialized medical statistics courses relating to epidemiology and other health topics may be interested in this volume. Related products: Your Guide to Choosing a Nursing Home or Other Long-Term Services & Supports available here: https://bookstore.gpo.gov/products/your-guide-choosing-nursing-home-or-other-long-term-services-supports Health Insurance Coverage in the United States, 2014 available here: https://bookstore.gpo.gov/products/health-insurance-coverage-united-states-2014 "Some System of the Nature Here Proposed": Joseph Lovell's Remarks on the Sick Report, Northern Department, U.S. Army, 1817, and the Rise of the Modern US Army Medical Department can be found here: https://bookstore.gpo.gov/products/some-system-nature-here-proposed-joseph-lovells-remarks-sick-report-northern-department-us Guide to Clinical Preventive Services 2014: Recommendations of the U.S. Preventive Services Task Force (ePub) -Free digital eBook download available at the US Government Online Bookstore here: https://bookstore.gpo.gov/products/guide-clinical-preventive-services-2014-recommendations-us-preventive-services-task-force --Also available for FREE digital eBook download from Apple iBookstore, BarnesandNoble.com (Nook Bookstore), Google Play eBookstore, and Overdrive -Please use ISBN: 9780160926426 to search these commercial platforms.



Statistical Abstract of the United States 1999

Author : Hoover's Incorporated

Publisher :

Page : 1034 pages

File Size : 44,66 MB

Release : 1999

Category : Political Science

ISBN : 9780160427787

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Book Description

119th edition. Provides tables and graphs of statistics on the social, political, and economic conditions of the United States. Each section has an introductory text. Each table and graph has a source note. Appendix 1 includes guides to sources of statistics, State statistical abstracts, and foreign statistical abstracts.





Introduction to Statistical Machine Learning

Author : Masashi Sugiyama

Publisher : Morgan Kaufmann

Page : 535 pages

File Size : 38,67 MB

Release : 2015-10-31

Category : Mathematics

ISBN : 0128023503

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Book Description

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. - Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus - Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning - Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasks - Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials