The book covers the various approaches to modeling the in-cylinder processes such as mixture formation, combustion and formation of exhaust emissions in diesel and gasoline engines. Due t… Mehr…
The book covers the various approaches to modeling the in-cylinder processes such as mixture formation, combustion and formation of exhaust emissions in diesel and gasoline engines. Due to their complexity emphasis is put on multi-dimensional spray, combustion and emission formation models. However, phenomenological as well as zero-dimensional thermodynamic models, which are still widely used in engine development because of their computational efficiency, are addressed as well. Example calculations of each model type are compared with corresponding experimental data ¿ represented in diagrams as well as in images resulting from modern optical measuring techniques ¿ in order to discuss the capabilities of today's simulation models as well as the shortcomings that still exist either because of oversimplifying assumptions or because of insufficient knowledge of the real processes. The reader will be provided with an overview of the most important simulation models describing the in-cylinder processes of internal combustion engines. In addition, suggestions are made about which modeling approach is appropriate for a specific type of problem.Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place. Buch, Springer / Springer New York / Springer, Berlin<
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Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of di… Mehr…
Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of disciplines. A central theme is to show how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. Statistical modeling has strongly influenced sampling theory in recent years and has clarified many issues related to the uses of auxiliary information in surveys. This is the first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. The central ideas of sampling theory are developed from the unifying perspective of unequal probability sampling. The book covers classical topics as well as areas where significant new developments have taken place notably domain estimation, variance estimation, methods for handling nonresponse, models for measurement error, and the analysis of survey data. The authors have taken care to presuppose nothing more on the part of the reader than a first course in statistical inference and regression analysis. Throughout, the emphasis is on statistical ideas rather than advanced mathematics. Each chapter concludes with a range of exercises incorporating the analysis of data from actual finite populations. As a result, all those concerned with survey methodology or engaged in survey sampling will find this an invaluable and up-to-date coverage of the subject., Springer<
[EAN: 9780387406206], New book, [SC: 12.36], [PU: Springer New York], ERHEBUNG - DATENERHEBUNG, Druck auf Anfrage Neuware - Printed after ordering - Now available in paperback, this book … Mehr…
[EAN: 9780387406206], New book, [SC: 12.36], [PU: Springer New York], ERHEBUNG - DATENERHEBUNG, Druck auf Anfrage Neuware - Printed after ordering - Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place. 712 pp. Englisch, Books<
Paperback, Used, good, USED-VARIOUS AMOUNTS OF WEAR-POSSIBLE HIGHLIGHTS-WE CANNOT GUARANTEE SUPPLEMENTS SUCH AS CD, ACCESS CODE, OR INFO TRAC., [PU: Springer]
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
The book covers the various approaches to modeling the in-cylinder processes such as mixture formation, combustion and formation of exhaust emissions in diesel and gasoline engines. Due t… Mehr…
The book covers the various approaches to modeling the in-cylinder processes such as mixture formation, combustion and formation of exhaust emissions in diesel and gasoline engines. Due to their complexity emphasis is put on multi-dimensional spray, combustion and emission formation models. However, phenomenological as well as zero-dimensional thermodynamic models, which are still widely used in engine development because of their computational efficiency, are addressed as well. Example calculations of each model type are compared with corresponding experimental data ¿ represented in diagrams as well as in images resulting from modern optical measuring techniques ¿ in order to discuss the capabilities of today's simulation models as well as the shortcomings that still exist either because of oversimplifying assumptions or because of insufficient knowledge of the real processes. The reader will be provided with an overview of the most important simulation models describing the in-cylinder processes of internal combustion engines. In addition, suggestions are made about which modeling approach is appropriate for a specific type of problem.Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place. Buch, Springer / Springer New York / Springer, Berlin<
Nr. 09218085. Versandkosten:Kein Versand in Ihr Zielland., zzgl. Versandkosten
Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of di… Mehr…
Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of disciplines. A central theme is to show how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. Statistical modeling has strongly influenced sampling theory in recent years and has clarified many issues related to the uses of auxiliary information in surveys. This is the first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. The central ideas of sampling theory are developed from the unifying perspective of unequal probability sampling. The book covers classical topics as well as areas where significant new developments have taken place notably domain estimation, variance estimation, methods for handling nonresponse, models for measurement error, and the analysis of survey data. The authors have taken care to presuppose nothing more on the part of the reader than a first course in statistical inference and regression analysis. Throughout, the emphasis is on statistical ideas rather than advanced mathematics. Each chapter concludes with a range of exercises incorporating the analysis of data from actual finite populations. As a result, all those concerned with survey methodology or engaged in survey sampling will find this an invaluable and up-to-date coverage of the subject., Springer<
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[EAN: 9780387406206], New book, [SC: 12.36], [PU: Springer New York], ERHEBUNG - DATENERHEBUNG, Druck auf Anfrage Neuware - Printed after ordering - Now available in paperback, this book … Mehr…
[EAN: 9780387406206], New book, [SC: 12.36], [PU: Springer New York], ERHEBUNG - DATENERHEBUNG, Druck auf Anfrage Neuware - Printed after ordering - Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place. 712 pp. Englisch, Books<
Paperback, Used, good, USED-VARIOUS AMOUNTS OF WEAR-POSSIBLE HIGHLIGHTS-WE CANNOT GUARANTEE SUPPLEMENTS SUCH AS CD, ACCESS CODE, OR INFO TRAC., [PU: Springer]
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Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.
Detailangaben zum Buch - Model Assisted Survey Sampling by Carl-Erik Särndal Paperback | Indigo Chapters
Buch in der Datenbank seit 2007-06-04T00:27:25+02:00 (Zurich) Detailseite zuletzt geändert am 2024-02-09T16:24:09+01:00 (Zurich) ISBN/EAN: 9780387406206
ISBN - alternative Schreibweisen: 0-387-40620-4, 978-0-387-40620-6 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: bengt, swensson, jan, erik, särndal, carl springer, wretman Titel des Buches: model assisted survey sampling, statistics springer, springer series
Daten vom Verlag:
Autor/in: Carl-Erik Särndal; Bengt Swensson; Jan Wretman Titel: Springer Series in Statistics; Model Assisted Survey Sampling Verlag: Springer; Springer US 695 Seiten Erscheinungsjahr: 2003-10-31 New York; NY; US Sprache: Englisch 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) Available XV, 695 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Statistical Theory and Methods; BB; EA
I Principles of Estimation for Finite Populations and Important Sampling Designs.- 1 Survey Sampling in Theory and Practice.- 2 Basic Ideas in Estimation from Probability Samples.- 3 Unbiased Estimation for Element Sampling Designs.- 4 Unbiased Estimation for Cluster Sampling and Sampling in Two or More Stages.- 5 Introduction to More Complex Estimation Problems.- II Estimation through Linear Modeling, Using Auxiliary Variables.- 6 The Regression Estimator.- 7 Regression Estimators for Element Sampling Designs.- 8 Regression Estimators for Cluster Sampling and Two-Stage Sampling.- III Further Questions in Design and Analysis of Surveys.- 9 Two-Phase Sampling.- 10 Estimation for Domains.- 11 Variance Estimation.- 12 Searching for Optimal Sampling Designs.- 13 Further Statistical Techniques for Survey Data.- IV A Broader View of Errors in Surveys.- 14 Nonsampling Errors and Extensions of Probability Sampling Theory.- 15 Nonresponse.- 16 Measurement Errors.- 17 Quality Declarations for Survey Data.- Appendix A Principles of Notation.- Appendix B The MU284 Population.- Appendix C The Clustered MU284 Population.- Appendix D The CO124 Population.- References.- Answers to Selected Exercises.- Author Index.
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