Independent Random Sampling Methods

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Independent Random Sampling Methods

Luca Martino,David Luengo,Joaquín Míguez
Independent Random Sampling Methods Book PDF

Author : Luca Martino,David Luengo,Joaquín Míguez
Publisher : Unknown
Page : 280 pages
File Size : 44,7 Mb
Release : 2018
Category : Electronic books
ISBN : 3319726358

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Independent Random Sampling Methods by Luca Martino,David Luengo,Joaquín Míguez Pdf

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.--

Independent Random Sampling Methods

Luca Martino,David Luengo,Joaquín Míguez
Independent Random Sampling Methods Book PDF

Author : Luca Martino,David Luengo,Joaquín Míguez
Publisher : Springer
Page : 280 pages
File Size : 40,6 Mb
Release : 2018-03-31
Category : Computers
ISBN : 9783319726342

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Independent Random Sampling Methods by Luca Martino,David Luengo,Joaquín Míguez Pdf

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.

Statistics in Criminal Justice

David Weisburd,Chester Britt
Statistics in Criminal Justice Book PDF

Author : David Weisburd,Chester Britt
Publisher : Springer Science & Business Media
Page : 801 pages
File Size : 53,9 Mb
Release : 2013-12-11
Category : Social Science
ISBN : 9781461491705

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Statistics in Criminal Justice by David Weisburd,Chester Britt Pdf

Statistics in Criminal Justice takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling more complex problems on their own. New to the 4th Edition · New chapter on experimental design and the analysis of experimental data. · New chapter on multi-level models, including growth-curve models. · New computer exercises throughout the text to illustrate the use of both SPSS and Stata. · Revision of exercises at the end of each chapter that places greater emphasis on using statistical software. · Additional resources on the text’s web site for instructors and students, including answers to selected problems, syntax for replicating text examples in SPSS and Stata, and other materials that can be used to supplement the use of the text.

Elementary Statistics for Geographers

James E. Burt,Gerald M. Barber,David L. Rigby
Elementary Statistics for Geographers Book PDF

Author : James E. Burt,Gerald M. Barber,David L. Rigby
Publisher : Guilford Press
Page : 673 pages
File Size : 45,7 Mb
Release : 2009-03-19
Category : Social Science
ISBN : 9781572304840

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Elementary Statistics for Geographers by James E. Burt,Gerald M. Barber,David L. Rigby Pdf

Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.

Mathematical Methods in Sample Surveys

Howard G. Tucker
Mathematical Methods in Sample Surveys Book PDF

Author : Howard G. Tucker
Publisher : World Scientific
Page : 226 pages
File Size : 48,5 Mb
Release : 1998
Category : Mathematics
ISBN : 9810226179

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Mathematical Methods in Sample Surveys by Howard G. Tucker Pdf

This book is about both the mathematics of sample surveys and about sample surveys. The mathematics is both elementary and rigorous. It is suitable for a one year junior-senior level course for mathematics and statistics majors as well as for students in the social sciences who are not handicapped by a fear of proofs in mathematics. It requires no previous knowledge of statistics, and it could actually serve as an introduction to statistics. A sizeable part of the book covers the discrete probability needed for the sampling methods covered. Topics then covered are: simple random sampling, sampling with unequal probabilities, linear relationships, stratified sampling, cluster sampling and two-stage sampling.

Advanced Sampling Methods

Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Advanced Sampling Methods Book PDF

Author : Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Publisher : Springer Nature
Page : 301 pages
File Size : 52,8 Mb
Release : 2021-05-07
Category : Mathematics
ISBN : 9789811606229

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Advanced Sampling Methods by Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra Pdf

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.

Probabilistic Machine Learning for Finance and Investing

Deepak K. Kanungo
Probabilistic Machine Learning for Finance and Investing Book PDF

Author : Deepak K. Kanungo
Publisher : "O'Reilly Media, Inc."
Page : 267 pages
File Size : 52,6 Mb
Release : 2023-08-14
Category : Business & Economics
ISBN : 9781492097648

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Probabilistic Machine Learning for Finance and Investing by Deepak K. Kanungo Pdf

Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition.

Biological Diversity

Anne E. Magurran,Brian J. McGill
Biological Diversity Book PDF

Author : Anne E. Magurran,Brian J. McGill
Publisher : Oxford University Press
Page : 364 pages
File Size : 54,8 Mb
Release : 2011
Category : Mathematics
ISBN : 9780199580668

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Biological Diversity by Anne E. Magurran,Brian J. McGill Pdf

This book provides an up to date review of the methods of measuring and assessing biological diversity, together with their application.

Sample Size Methodology

M. M. Desu
Sample Size Methodology Book PDF

Author : M. M. Desu
Publisher : Elsevier
Page : 151 pages
File Size : 40,7 Mb
Release : 2012-12-02
Category : Mathematics
ISBN : 9780323139564

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Sample Size Methodology by M. M. Desu Pdf

One of the most important problems in designing an experiment or a survey is sample size determination and this book presents the currently available methodology. It includes both random sampling from standard probability distributions and from finite populations. Also discussed is sample size determination for estimating parameters in a Bayesian setting by considering the posterior distribution of the parameter and specifying the necessary requirements. The determination of the sample size is considered for ranking and selection problems as well as for the design of clinical trials. Appropriate techniques for attacking the general question of sample size determination in problems of estimation, tests of hypotheses, selection, and clinical trial design are all presented, and will help the reader in formulating an appropriate problem of sample size and in obtaining the solution. The book can be used as a text in a senior-level or a graduate course on sample size methodology. Annotated list of tables in appendixSupplemental problems at the end of book

Data Analysis and Graphics Using R

John Maindonald,W. John Braun
Data Analysis and Graphics Using R Book PDF

Author : John Maindonald,W. John Braun
Publisher : Cambridge University Press
Page : 565 pages
File Size : 52,8 Mb
Release : 2010-05-06
Category : Computers
ISBN : 9781139486675

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Data Analysis and Graphics Using R by John Maindonald,W. John Braun Pdf

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

Research Methods in Library and Information Science

Lynn Silipigni Connaway,Marie L. Radford
Research Methods in Library and Information Science Book PDF

Author : Lynn Silipigni Connaway,Marie L. Radford
Publisher : Bloomsbury Publishing USA
Page : 351 pages
File Size : 42,8 Mb
Release : 2021-05-24
Category : Language Arts & Disciplines
ISBN : 9798216138754

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Research Methods in Library and Information Science by Lynn Silipigni Connaway,Marie L. Radford Pdf

The seventh edition of this frequently adopted textbook features new or expanded sections on social justice research, data analysis software, scholarly identity research, social networking, data science, and data visualization, among other topics. It continues to include discipline experts' voices. The revised seventh edition of this popular text provides instruction and guidance for professionals and students in library and information science who want to conduct research and publish findings, as well as for practicing professionals who want a broad overview of the current literature. Providing a broad introduction to research design, the authors include principles, data collection techniques, and analyses of quantitative and qualitative methods, as well as advantages and limitations of each method and updated bibliographies. Chapters cover the scientific method, sampling, validity, reliability, and ethical concerns along with quantitative and qualitative methods. LIS students and professionals will consult this text not only for instruction on conducting research but also for guidance in critically reading and evaluating research publications, proposals, and reports. As in the previous edition, discipline experts provide advice, tips, and strategies for completing research projects, dissertations, and theses; writing grants; overcoming writer's block; collaborating with colleagues; and working with outside consultants. Journal and book editors discuss how to publish and identify best practices and understudied topics, as well as what they look for in submissions.

Encyclopedia of Survey Research Methods

Paul J. Lavrakas
Encyclopedia of Survey Research Methods Book PDF

Author : Paul J. Lavrakas
Publisher : SAGE Publications
Page : 1073 pages
File Size : 50,9 Mb
Release : 2008-09-12
Category : Social Science
ISBN : 9781452261478

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Encyclopedia of Survey Research Methods by Paul J. Lavrakas Pdf

In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint.

History by Numbers

Pat Hudson,Mina Ishizu
History by Numbers Book PDF

Author : Pat Hudson,Mina Ishizu
Publisher : Bloomsbury Publishing
Page : 360 pages
File Size : 55,7 Mb
Release : 2016-11-17
Category : History
ISBN : 9781849665728

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History by Numbers by Pat Hudson,Mina Ishizu Pdf

Fully updated and carefully revised, this new 2nd edition of History by Numbers still stands alone as the only textbook on quantitative methods suitable for students of history. Even the numerically challenged will find inspiration. Taking a problem-solving approach and using authentic historical data, it describes each method in turn, including its origin, purpose, usefulness and associated pitfalls. The problems are developed gradually and with narrative skill, allowing readers to experience the moment of discovery for each of the interpretative outcomes. Quantitative methods are essential for the modern historian, and this lively and accessible text will prove an invaluable guide for anyone entering the discipline.

Quantitative Techniques in Participatory Forest Management

Eugenio Martinez-Falero,Susana Martin-Fernandez,Antonio D. Garcia-Abril
Quantitative Techniques in Participatory Forest Management Book PDF

Author : Eugenio Martinez-Falero,Susana Martin-Fernandez,Antonio D. Garcia-Abril
Publisher : CRC Press
Page : 627 pages
File Size : 40,5 Mb
Release : 2016-04-19
Category : Nature
ISBN : 9781000218787

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Quantitative Techniques in Participatory Forest Management by Eugenio Martinez-Falero,Susana Martin-Fernandez,Antonio D. Garcia-Abril Pdf

Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management.

Principles & Methods of Statistical Analysis

Jerome Frieman,Donald A. Saucier,Stuart S. Miller
Principles Methods of Statistical Analysis Book PDF

Author : Jerome Frieman,Donald A. Saucier,Stuart S. Miller
Publisher : SAGE Publications
Page : 529 pages
File Size : 50,9 Mb
Release : 2017-01-20
Category : Social Science
ISBN : 9781483358581

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Principles & Methods of Statistical Analysis by Jerome Frieman,Donald A. Saucier,Stuart S. Miller Pdf

This unique intermediate/advanced statistics text uses real research on antisocial behaviors, such as cyberbullying, stereotyping, prejudice, and discrimination, to help readers across the social and behavioral sciences understand the underlying theory behind statistical methods. By presenting examples and principles of statistics within the context of these timely issues, authors Jerome Frieman, Donald A. Saucier, and Stuart S. Miller show how the results of analyses can be used to answer research questions. New techniques for data analysis and a wide range of topics are covered, including how to deal with “messy data” and the importance of engaging in exploratory data analysis.