Practical Sampling Techniques Second Edition
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Practical Sampling Techniques Second Edition
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Author : Ranjan K. Som
language : en
Publisher: CRC Press
Release Date : 1995-09-13
Practical Sampling Techniques Second Edition written by Ranjan K. Som and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-13 with Mathematics categories.
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Practical Sampling Techniques
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Author : Ranjan K. Som
language : en
Publisher: CRC Press
Release Date : 1995-09-13
Practical Sampling Techniques written by Ranjan K. Som and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-13 with Mathematics categories.
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Practical Sampling
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Author : Gary T. Henry
language : en
Publisher: SAGE
Release Date : 1990-08
Practical Sampling written by Gary T. Henry and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-08 with Mathematics categories.
Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research and sampling choices. The style is concise and narrative; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it very approachable for any researcher.
Linear And Nonlinear Models For The Analysis Of Repeated Measurements
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Author : Edward Vonesh
language : en
Publisher: CRC Press
Release Date : 1996-11-01
Linear And Nonlinear Models For The Analysis Of Repeated Measurements written by Edward Vonesh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-11-01 with Mathematics categories.
Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.
Statistics Of Quality
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Author : Subir Ghosh
language : en
Publisher: CRC Press
Release Date : 2020-09-02
Statistics Of Quality written by Subir Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-02 with Technology & Engineering categories.
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.
Computer Aided Econometrics
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Author : David E. A. Giles
language : en
Publisher: CRC Press
Release Date : 2003-06-18
Computer Aided Econometrics written by David E. A. Giles and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-18 with Mathematics categories.
Emphasizing the impact of computer software and computational technology on econometric theory and development, this text presents recent advances in the application of computerized tools to econometric techniques and practices—focusing on current innovations in Monte Carlo simulation, computer-aided testing, model selection, and Bayesian methodology for improved econometric analyses.
Visualizing Statistical Models And Concepts
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Author : R.W. Farebrother
language : en
Publisher: CRC Press
Release Date : 2002-06-14
Visualizing Statistical Models And Concepts written by R.W. Farebrother and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-14 with Mathematics categories.
An examination of classic algorithms, geometric diagrams and mechanical principles for enhanced visualization of statistical estimation procedures and mathematical concepts in physics, engineering and computer programming.
Improving Efficiency By Shrinkage
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Author : Marvin Gruber
language : en
Publisher: Routledge
Release Date : 2017-11-01
Improving Efficiency By Shrinkage written by Marvin Gruber and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Mathematics categories.
Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The book explains and compares estimators analytically as well as numerically and includes Mathematica and Maple programs used in numerical comparison.;College or university bookshops may order five or more copies at a special student rate, available on request.
Handbook Of Stochastic Analysis And Applications
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Author : D. Kannan
language : en
Publisher: CRC Press
Release Date : 2001-10-23
Handbook Of Stochastic Analysis And Applications written by D. Kannan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-23 with Mathematics categories.
An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.
Instance Selection And Construction For Data Mining
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Author : Huan Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Instance Selection And Construction For Data Mining written by Huan Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidly as an emerging field. However, no matter how powerful computers are now or will be in the future, KDD researchers and practitioners must consider how to manage ever-growing data which is, ironically, due to the extensive use of computers and ease of data collection with computers. Many different approaches have been used to address the data explosion issue, such as algorithm scale-up and data reduction. Instance, example, or tuple selection pertains to methods or algorithms that select or search for a representative portion of data that can fulfill a KDD task as if the whole data is used. Instance selection is directly related to data reduction and becomes increasingly important in many KDD applications due to the need for processing efficiency and/or storage efficiency. One of the major means of instance selection is sampling whereby a sample is selected for testing and analysis, and randomness is a key element in the process. Instance selection also covers methods that require search. Examples can be found in density estimation (finding the representative instances - data points - for a cluster); boundary hunting (finding the critical instances to form boundaries to differentiate data points of different classes); and data squashing (producing weighted new data with equivalent sufficient statistics). Other important issues related to instance selection extend to unwanted precision, focusing, concept drifts, noise/outlier removal, data smoothing, etc. Instance Selection and Construction for Data Mining brings researchers and practitioners together to report new developments and applications, to share hard-learned experiences in order to avoid similar pitfalls, and to shed light on the future development of instance selection. This volume serves as a comprehensive reference for graduate students, practitioners and researchers in KDD.