Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
A New Resampling Method To Improve Quality Of Research With Small Samples
Download A New Resampling Method To Improve Quality Of Research With Small Samples full books in PDF, epub, and Kindle. Read online A New Resampling Method To Improve Quality Of Research With Small Samples ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis A New Resampling Method to Improve Quality of Research with Small Samples by : Haiyan Bai
Download or read book A New Resampling Method to Improve Quality of Research with Small Samples written by Haiyan Bai and published by . This book was released on 2007 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through an evaluative simulation study, this dissertation provides numerical evidence for the reliability and validity of the amplified S-SMART samples. The amplified S-SMART samples were similar to its original small samples in terms of the statistical behaviors and distributions. Thus, it produces unbiased resamples from the original small sample while correcting influence of extreme values. Therefore, the new resampling method has the potential to help researchers improve the quality of research with small samples through increasing statistical power, resisting outlier influences, and making advanced statistical techniques applicable to research with small samples.
Book Synopsis Resampling Methods by : Phillip I. Good
Download or read book Resampling Methods written by Phillip I. Good and published by Springer Science & Business Media. This book was released on 1999 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and researcher professionals in science, engineering, and technology. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. Students, professionals, and researchers will find it a particularly useful guide to modern resampling methods and their applications.
Book Synopsis Comparison of Resampling Methods for Improving Confidence Intervals in Group Sequential Trials on Rare Event Target Populations by : S. Thomas Cleveland
Download or read book Comparison of Resampling Methods for Improving Confidence Intervals in Group Sequential Trials on Rare Event Target Populations written by S. Thomas Cleveland and published by . This book was released on 2002 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Simulation Tools and Techniques by : Dingde Jiang
Download or read book Simulation Tools and Techniques written by Dingde Jiang and published by Springer Nature. This book was released on 2022-03-30 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings constitutes the refereed post-conference proceedings of the 13th International Conference on Simulation Tools and Techniques, SIMUTools 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 63 revised full papers were carefully selected from 143 submissions. The papers focus on new results in the field of system modeling and simulation, software simulation, communication networks’ modeling and analysis, AI system simulation and performance analysis, big data simulation analysis, addressing current and future trends in simulation techniques. They are grouped in thematic aspects on wireless communication, big data, modeling and simulation, deep learning, network simulation and life and medical sciences.
Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey
Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.
Book Synopsis Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good
Download or read book Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2005-07-22 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.
Book Synopsis Handbook of Developmental Research Methods by : Brett Laursen
Download or read book Handbook of Developmental Research Methods written by Brett Laursen and published by Guilford Press. This book was released on 2012-02-01 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.
Book Synopsis Learning from Imbalanced Data Sets by : Alberto Fernández
Download or read book Learning from Imbalanced Data Sets written by Alberto Fernández and published by Springer. This book was released on 2018-10-22 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.
Author :United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies Publisher : ISBN 13 : Total Pages :1256 pages Book Rating :4.3/5 (91 download)
Book Synopsis Departments of Labor, Health and Human Services, Education, and Related Agencies Appropriations for 1988 by : United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies
Download or read book Departments of Labor, Health and Human Services, Education, and Related Agencies Appropriations for 1988 written by United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies and published by . This book was released on 1987 with total page 1256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by : Chester Ismay
Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.
Download or read book Comprehensive Chemometrics written by and published by Elsevier. This book was released on 2009-03-09 with total page 2880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect
Book Synopsis Innovations in Sampling by : Michael J. Zickar
Download or read book Innovations in Sampling written by Michael J. Zickar and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has changed the way that organizational researchers obtain participants for their research studies. Although technology has facilitated the collection of large quantities of data through online platforms, it has also highlighted potential data quality issues for many of our samples. In this article, we review different sampling techniques, including convenience, purposive, probability-based, and snowball sampling. We highlight strengths and weaknesses of each approach to help organizational researchers choose the most appropriate sampling techniques for their research questions. We identify best practices that researchers can use to improve the quality of their samples, including reviewing screening techniques to increase the quality of online sampling. Finally, as part of our review we examined the sampling procedures of all empirical research articles published in the Journal of Applied Psychology in the past 5 years, and we use observations from these results to make conclusions about the lack of methodological and sample diversity in organizational research, the overreliance on a few sampling techniques, the need to report key aspects of sampling, and concerns about participant quality.
Book Synopsis Interdisciplinary Research for Printing and Packaging by : Pengfei Zhao
Download or read book Interdisciplinary Research for Printing and Packaging written by Pengfei Zhao and published by Springer Nature. This book was released on 2022-04-16 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 12th China Academic Conference on Printing and Packaging (CACPP 2021), held in Beijing, China on November 12-14, 2021. The proceedings cover the recent findings in color science and technology, image processing technology, digital media technology, mechanical and electronic engineering and numerical control, materials and detection, digital process management technology in printing and packaging, and other technologies. As such, the book is of interest to university researchers, R&D engineers and graduate students in the field of graphic arts, packaging, color science, image science, material science, computer science, digital media, network technology, and smart manufacturing technology.
Book Synopsis The Practice of Business Statistics Companion Chapter 18: Bootstrap Methods and Permutation Tests by : David S. Moore
Download or read book The Practice of Business Statistics Companion Chapter 18: Bootstrap Methods and Permutation Tests written by David S. Moore and published by W. H. Freeman. This book was released on 2003-03-10 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Planning, Construction, and Statistical Analysis of Comparative Experiments by : Francis G. Giesbrecht
Download or read book Planning, Construction, and Statistical Analysis of Comparative Experiments written by Francis G. Giesbrecht and published by John Wiley & Sons. This book was released on 2011-09-26 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable guide to conducting experiments and analyzing dataacross a wide range of applications Experimental design is an important component of the scientificmethod. This book provides guidance on planning efficientinvestigations. It compiles designs for a wide range ofexperimental situations not previously found in accessible form.Focusing on applications in the physical, engineering, biological,and social sciences, Planning, Construction, and StatisticalAnalysis of Comparative Experiments is a valuable guide todesigning experiments and correctly analyzing and interpreting theresults. The authors draw on their years of experience in theclassroom and as statistical consultants to research programs oncampus, in government, and in industry. The object is always tostrike the right balance between mathematical necessities andpractical constraints. Serving both as a textbook for students of intermediatestatistics and a hands-on reference for active researchers, thetext includes: A wide range of applications, including agricultural sciences,animal and biomedical sciences, and industrial engineeringstudies General formulas for estimation and hypothesis testing,presented in a unified and simplified manner Guidelines for evaluating the power and efficiency of designsthat are not perfectly balanced New developments in the design of fractional factorials withnon-prime numbers of levels in mixed-level fractionalfactorials Detailed coverage on the construction of plans and therelationship among categories of designs Thorough coverage of balanced, lattice, cyclic, and alphadesigns Strategies for sequences of fractional factorials Data sets and SAS® code on a companion web site An ideal handbook for the investigator planning a researchprogram, the text comes complete with detailed plans of experimentsand alternative approaches for added flexibility.
Book Synopsis Machine Learning by : Abdelhamid Mellouk
Download or read book Machine Learning written by Abdelhamid Mellouk and published by BoD – Books on Demand. This book was released on 2009-01-01 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience.
Book Synopsis Handbook of Multilevel Analysis by : Jan Deleeuw
Download or read book Handbook of Multilevel Analysis written by Jan Deleeuw and published by Springer Science & Business Media. This book was released on 2007-12-26 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
