Skip to main content

A New Concept For Tuning Design Weights In Survey Sampling

Download A New Concept For Tuning Design Weights In Survey Sampling Full eBooks in PDF, EPUB, and kindle. A New Concept For Tuning Design Weights In Survey Sampling is one my favorite book and give us some inspiration, very enjoy to read. you could read this book anywhere anytime directly from your device.

A New Concept for Tuning Design Weights in Survey Sampling

A New Concept for Tuning Design Weights in Survey Sampling Book
Author : Sarjinder Singh,Stephen A. Sedory,Maria Del Mar Rueda,Antonio Arcos,Raghunath Arnab
Publisher : Academic Press
Release : 2015-11-17
ISBN : 0081005954
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques. Explains how to calibrate design weights in survey sampling Discusses how Jackknifing is needed in design weights in survey sampling Describes how design weights are imputed in survey sampling

Survey Sampling Theory and Applications

Survey Sampling Theory and Applications Book
Author : Raghunath Arnab
Publisher : Academic Press
Release : 2017-03-08
ISBN : 0128118970
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. Covers a wide spectrum of topics on survey sampling and statistics Serves as an ideal text for graduate students and researchers in survey sampling theory and applications Contains material on recent developments in survey sampling not covered in other books Illustrates theories using numerical examples and exercises

Impact Analysis of Total Productive Maintenance

Impact Analysis of Total Productive Maintenance Book
Author : José Roberto Díaz-Reza,Jorge Luis García-Alcaraz,Valeria Martínez-Loya
Publisher : Springer
Release : 2018-10-01
ISBN : 3030017257
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.

Best Practices in Lean Manufacturing

Best Practices in Lean Manufacturing Book
Author : José Roberto Díaz-Reza
Publisher : Springer Nature
Release : 2022-09-29
ISBN : 3030977528
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Download Best Practices in Lean Manufacturing book written by José Roberto Díaz-Reza, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advanced Sampling Theory With Applications

Advanced Sampling Theory With Applications Book
Author : Sarjinder Singh
Publisher : Springer Science & Business Media
Release : 2003
ISBN : 9781402017070
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications Book
Author : William DeCoursey
Publisher : Elsevier
Release : 2003-05-14
ISBN : 0080489753
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory

Federal Statistics Multiple Data Sources and Privacy Protection

Federal Statistics  Multiple Data Sources  and Privacy Protection Book
Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods
Publisher : National Academies Press
Release : 2018-01-27
ISBN : 0309465370
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.

Elementary Survey Sampling

Elementary Survey Sampling Book
Author : William Mendenhall,Richard L. Scheaffer,Lyman Ott
Publisher : PWS Publishing Company
Release : 1979
ISBN : 9780871503848
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Focusing on the practical aspects of survey sampling, this introduction is intended for a one-term service course in survey sampling for students in the social sciences, business, and natural resources management (college algebra prerequisite). Appealing to the student with a limited background in math.

Proceedings of the Section on Survey Research Methods

Proceedings of the Section on Survey Research Methods Book
Author : American Statistical Association. Survey Research Methods Section
Publisher : Unknown
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Papers presented at the annual meeting of the American Statistical Association.

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists Book
Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Release : 2017-05-10
ISBN : 1491952911
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

A Tutorial on Thompson Sampling

A Tutorial on Thompson Sampling Book
Author : Daniel J. Russo,Benjamin van Roy,Abbas Kazerouni
Publisher : Now Publishers
Release : 2018-07-12
ISBN : 9781680834703
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting what is known to maximize immediate performance and investing to accumulate new information that may improve future performance. The algorithm addresses a broad range of problems in a computationally efficient manner and is therefore enjoying wide use. A Tutorial on Thompson Sampling covers the algorithm and its application, illustrating concepts through a range of examples, including Bernoulli bandit problems, shortest path problems, product recommendation, assortment, active learning with neural networks, and reinforcement learning in Markov decision processes. Most of these problems involve complex information structures, where information revealed by taking an action informs beliefs about other actions. It also discusses when and why Thompson sampling is or is not effective and relations to alternative algorithms.

Applied Text Analysis with Python

Applied Text Analysis with Python Book
Author : Benjamin Bengfort,Rebecca Bilbro,Tony Ojeda
Publisher : "O'Reilly Media, Inc."
Release : 2018-06-11
ISBN : 1491962992
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

Subsystem and Transaction Monitoring and Tuning with DB2 11 for z OS

Subsystem and Transaction Monitoring and Tuning with DB2 11 for z OS Book
Author : Paolo Bruni,Felipe Bortoletto,Adrian Burke,Cathy Drummond,Yasuhiro Ohmori,IBM Redbooks
Publisher : IBM Redbooks
Release : 2015-07-29
ISBN : 0738439126
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This IBM® Redbooks® publication discusses in detail the facilities of DB2® for z/OS®, which allow complete monitoring of a DB2 environment. It focuses on the use of the DB2 instrumentation facility component (IFC) to provide monitoring of DB2 data and events and includes suggestions for related tuning. We discuss the collection of statistics for the verification of performance of the various components of the DB2 system and accounting for tracking the behavior of the applications. We have intentionally omitted considerations for query optimization; they are worth a separate document. Use this book to activate the right traces to help you monitor the performance of your DB2 system and to tune the various aspects of subsystem and application performance.

Ranked Set Sampling

Ranked Set Sampling Book
Author : Munir Ahmad,M. Hanif,Hassen A. Muttlak
Publisher : Cambridge Scholars Publishing
Release : 2010-09-13
ISBN : 1443825220
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over the classical sampling techniques. Ranked Set Sampling is doubly random and can be used in any survey designs. The Pakistan Journal of Statistics had attracted statisticians and samplers around the world to write up aspects of Ranked Set Sampling. All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics. The subject is still a hot topic for MPhil and PhD students for their dissertations.

The Algorithmic Foundations of Differential Privacy

The Algorithmic Foundations of Differential Privacy Book
Author : Cynthia Dwork,Aaron Roth
Publisher : Unknown
Release : 2014
ISBN : 9781601988188
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

Reinforcement Learning second edition

Reinforcement Learning  second edition Book
Author : Richard S. Sutton,Andrew G. Barto
Publisher : MIT Press
Release : 2018-11-13
ISBN : 0262352702
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation Book
Author : Kenneth Train
Publisher : Cambridge University Press
Release : 2009-07-06
ISBN : 0521766559
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Principles and Methods of Social Research

Principles and Methods of Social Research Book
Author : William D. Crano,Marilynn B. Brewer,Andrew Lac
Publisher : Routledge
Release : 2014-09-09
ISBN : 1317666062
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Used to train generations of social scientists, this thoroughly updated classic text covers the latest research techniques and designs. Applauded for its comprehensive coverage, the breadth and depth of content is unparalleled. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are intended to be relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters covering topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. Chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis provide coverage of these essential methodologies. The book is noted for its: -Emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation. - Use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs. -Coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly. The new edition features: -A new co-author, Andrew Lac, instrumental in fine tuning the book’s accessible approach and highlighting the most recent developments at the intersection of design and statistics. -More learning tools including more explanation of the basic concepts, more research examples, tables, and figures, and the addition of bold faced terms, chapter conclusions, discussion questions, and a glossary. -Extensive revision of chapter (3) on measurement reliability theory that examines test theory, latent factors, factor analysis, and item response theory. -Expanded coverage of cutting-edge methodologies including mediation and moderation, reliability and validity, missing data, and more physiological approaches such as neuroimaging and fMRIs. -A new web based resource package that features Power Points and discussion and exam questions for each chapter and for students chapter outlines and summaries, key terms, and suggested readings. Intended as a text for graduate or advanced undergraduate courses in research methods (design) in psychology, communication, sociology, education, public health, and marketing, an introductory undergraduate course on research methods is recommended.

Bandit Algorithms

Bandit Algorithms Book
Author : Tor Lattimore,Csaba Szepesvári
Publisher : Cambridge University Press
Release : 2020-07-16
ISBN : 1108486827
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.

Introduction to Optimum Design

Introduction to Optimum Design Book
Author : Jasbir Arora
Publisher : Academic Press
Release : 2011-08-12
ISBN : 012381376X
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Introduction to Optimum Design, Third Edition describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB® are featured as learning and teaching aids. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems Introduction to MATLAB Optimization Toolbox Practical design examples introduce students to the use of optimization methods early in the book New example problems throughout the text are enhanced with detailed illustrations Optimum design with Excel Solver has been expanded into a full chapter New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses