Regent Advances In Statistical Ranking And Selection Theory And Methods
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Recent Advances in Statistical Ranking and Selection: Theory and Methods
Author | : Shanti S. Gupta |
Publisher | : |
Total Pages | : 38 |
Release | : 1990 |
Genre | : |
ISBN | : |
This paper reviews some recent developments in the research area of ranking and selection, mainly, on the following topics: (a) Selecting the largest normal mean and estimating the selected mean, (b) empirical Bayes selection, (c) selecting the important regression variables, (d) sequential selection rules, and (e) lower confidence bounds for the probability of a correct selection. Related theoretic and methodological research will be surveyed. Statistical tests; Equations; Mathematical models. (cp).
Recent Advances in Ranking and Selection
Author | : Edward J. Dudewicz |
Publisher | : |
Total Pages | : 196 |
Release | : 1999 |
Genre | : Ranking and selection (Statistics) |
ISBN | : |
Modern Statistical Selection
Author | : M. Haseeb Rizvi |
Publisher | : American Sciences Press, Incorporated |
Total Pages | : 212 |
Release | : 1985 |
Genre | : Mathematics |
ISBN | : |
Selecting and Ordering Populations
Author | : Jean Dickinson Gibbons |
Publisher | : John Wiley & Sons |
Total Pages | : 604 |
Release | : 1977 |
Genre | : Mathematics |
ISBN | : |
This SIAM Classics edition is an unabridged, corrected republication of the work first published in 1977. It provides a compendium of applied aspects of ordering and selection procedures and includes tables that permit the practitioner to carry out the experiment and draw statistically justified conclusions. These tables are not readily available in other texts. Although more than 1000 papers and several books on the general theory of ranking and selection have been published since this book first appeared, the methodology is presented in a more elementary fashion, with numerous examples to help the reader apply it to a specific problem.
Social Science Research Design and Statistics
Author | : Alfred P. Rovai |
Publisher | : |
Total Pages | : 540 |
Release | : 2012-09-01 |
Genre | : Computers |
ISBN | : 9780978718695 |
This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.
Methods in Educational Research
Author | : Marguerite G. Lodico |
Publisher | : John Wiley & Sons |
Total Pages | : 560 |
Release | : 2010-04-07 |
Genre | : Psychology |
ISBN | : 0470588691 |
Methods in Educational Research Methods in Educational Research is designed to prepare students for the real world of educational research. It focuses on scientifically-based methods, school accountability, and the professional demands of the twenty-first century, empowering researchers to take an active role in conducting research in their classrooms, districts, and the greater educational community. Like the first edition, this edition helps students, educators, and researchers develop a broad and deep understanding of research methodologies. It includes substantial new content on the impact of No Child Left Behind legislation, school reform, quantitative and qualitative methodologies, logic modeling, action research, and other areas. Special features to assist the teaching and learning processes include vignettes illustrating research tied to practice, suggested readings at the end of each chapter, and discussion questions to reinforce chapter content. Praise for the Previous Edition "A new attempt to make this subject more relevant and appealing to students. Most striking is how useful this book is because it is really grounded in educational research. It is very well written and quite relevant for educational researchers or for the student hoping to become one." -PsycCRITIQUES/American Psychological Association "I applaud the authors for their attempt to cover a wide range of material. The straightforward language of the book helps make the material understandable for readers." -Journal of MultiDisciplinary Evaluation
Research Design
Author | : John W. Creswell |
Publisher | : SAGE Publications |
Total Pages | : 284 |
Release | : 2017-12-12 |
Genre | : Social Science |
ISBN | : 1506386695 |
This best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry. The Fifth Edition includes more coverage of: epistemological and ontological positioning in relation to the research question and chosen methodology; case study, PAR, visual and online methods in qualitative research; qualitative and quantitative data analysis software; and in quantitative methods more on power analysis to determine sample size, and more coverage of experimental and survey designs; and updated with the latest thinking and research in mixed methods.
Introduction to Business Statistics through R software
Author | : Editor IJSMI |
Publisher | : International Journal of Statistics and Medical Informatics |
Total Pages | : 103 |
Release | : 2023-07-02 |
Genre | : Education |
ISBN | : |
Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical book introduction to statistical methods and non-parametric methods.