Practice time series analysis (26 Ergebnisse)
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Sprache: Englisch
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Time series analysis in practice: based on machine learning and statistics (produced by Turing)(Chinese Edition)
[ MEI ] AI LIN · NI ER SEN ( Aileen Nielsen ) , WANG YI , FENG YING RUI YI
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different areas, ranging from marketing to oceanography, and the analysis of such series raises many problems of both a theor…etical and practical nature. I first became interested in the subject as a postgraduate student at Imperial College, when I attended a stimulating course of lectures on time-series given by Dr. (now Professor) G. M. Jenkins. The subject has fascinated me ever since. Several books have been written on theoretical aspects of time-series analysis. The aim of this book is to provide an introduction to the subject which bridges the gap between theory and practice. The book has also been written to make what is rather a difficult subject as understandable as possible. Enough theory is given to introduce the concepts of time-series analysis and to make the book mathematically interesting. In addition, practical problems are considered so as to help the reader tackle the analysis of real data. The book assumes a knowledge of basic probability theory and elementary statistical inference (see Appendix III). The book can be used as a text for an undergraduate or postgraduate course in time-series, or it can be used for self tuition by research workers. Throughout the book, references are usually given to recent readily accessible books and journals rather than to the original attributive references. Wold's (1965) bibliography contains many time series references published before 1959.
Weitere BilderSprache: Englisch
Verlag: Springer, 2011
Serie: Information Science and Statistics, Buch 1 von 20. Buch 1 von 20 - Information Science and Statistics
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Taschenbuch. Zustand: Neu. The Practice of Time Series Analysis | Hirotugu Akaike (u. a.) | Taschenbuch | Information Science and Statistics | xviii | Englisch | 2011 | Springer | EAN 9781461274391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Springer, 2011
Serie: Information Science and Statistics, Buch 1 von 20. Buch 1 von 20 - Information Science and Statistics
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Due to the introduction of the information criterion AIC and development of prac tical use of Bayesian modeling, the method of time analysis is now showing remarkable progress. In attempting the study of a new field the actual phenomenon is rarely so… simple as to allow direct applications of existing methods of analysis or models. The real thrill of the statistical analysis lies in the process of developing a new model depending on the purpose and the characteristics of the object of the research. The purpose of this book ist.o introduce the readers to successful applications of the meth ods of time series analysis in a variety of fields, such as engineering, earth science, medical science, biology, and economics. The editors have been aware of the importance of cooperative research in sta tistical science and carried out various cooperative research projects in the area of time series analysis. The Institute of Statistical Mathematics was reorganized as an inter-university research institute in 1985 and the activities of the Institute have been organized to promote the cooperative researches as its central activity. This book is composed of the outcomes of cooperative researches developed within this environ ment and contains the results ranging from the pioneering realizations of statistical control to the latest consequences of time series modeling.
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Zustand: Gut. Zustand: Gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different areas, ranging from marketing to oceanography, and the analysis of such series raises many problems of both a t…heoretical and practical nature. I first became interested in the subject as a postgraduate student at Imperial College, when I attended a stimulating course of lectures on time-series given by Dr. (now Professor) G. M. Jenkins. The subject has fascinated me ever since. Several books have been written on theoretical aspects of time-series analysis. The aim of this book is to provide an introduction to the subject which bridges the gap between theory and practice. The book has also been written to make what is rather a difficult subject as understandable as possible. Enough theory is given to introduce the concepts of time-series analysis and to make the book mathematically interesting. In addition, practical problems are considered so as to help the reader tackle the analysis of real data. The book assumes a knowledge of basic probability theory and elementary statistical inference (see Appendix III). The book can be used as a text for an undergraduate or postgraduate course in time-series, or it can be used for self tuition by research workers. Throughout the book, references are usually given to recent readily accessible books and journals rather than to the original attributive references. Wold's (1965) bibliography contains many time series references published before 1959.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different areas, ranging from marketing to oceanography, and the analysis of such series raises many problems o…f both a theoretical and practical nature. I first became interested in the subject as a postgraduate student at Imperial College, when I attended a stimulating course of lectures on time-series given by Dr. (now Professor) G. M. Jenkins. The subject has fascinated me ever since. Several books have been written on theoretical aspects of time-series analysis. The aim of this book is to provide an introduction to the subject which bridges the gap between theory and practice. The book has also been written to make what is rather a difficult subject as understandable as possible. Enough theory is given to introduce the concepts of time-series analysis and to make the book mathematically interesting. In addition, practical problems are considered so as to help the reader tackle the analysis of real data. The book assumes a knowledge of basic probability theory and elementary statistical inference (see Appendix III). The book can be used as a text for an undergraduate or postgraduate course in time-series, or it can be used for self tuition by research workers. Throughout the book, references are usually given to recent readily accessible books and journals rather than to the original attributive references. Wold's (1965) bibliography contains many time series references published before 1959.
Verlag: Capital, 2012
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Hardcover. Zustand: As New. Contents: Preface. 1. Introduction. I. Tools/techniques for time series analysis: 2. Statistical characteristics of hydrologic time series. 3. Methods for testing normality of hydrologic time series. 4. Methods for time series analysis. 5. Stochastic modelling of time series. 6. Current status of time… series analysis in hydrological sciences. II. Salient case studies: 7. Efficacy of time series tests: a critical assessment. 8. Trend and homogeneity in subsurface hydrologic variables: case study in a hard-rock aquifer of western India. 9. Analysis of stream flow trend in the Susquehanna river basin, USA/Zhenxing Zhang, Robert D. Pody, Andrew D. Dehoff and John W. Balay. 10. Analysis of trends in low-flow time series of Canadian rivers/M.N. Khaliq and L. Sushama. 11. Exploring trends in climatological time series of Orissa, India using nonparametric trend tests/Dileep K. Panda and A. Kumar. 12. Analysis of trend and periodicity in long-term annual rainfall time series of Nigeria/Philip G. Oguntunde and Babatunde J. Abiodun. Appendices. Index. There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time series analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In addition, it demonstrate the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is second edition of the highly used earlier text containing the same topics, divided similarly into four parts, but with major revisions and using STATA 18 and R (previous version usedSTATA 15.1).Part I is a discussion on introductory econome…tric methods covering the syllabus of econometrics at the graduate level courses. This part of the book provides an introduction to basic econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this section covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions, regression diagnostics and regression analysis with qualitative regressors. Part II covers some advanced topics used frequently in empirical study with cross section data. This part contains three chapters to include the problems of endogeneity and instrumental variable regression, and models with limited dependent variables. Special emphasis is given to the econometric models with qualitative and limited dependent variables because of its popularity in empirical research with cross section data.Part III deals with time series econometric analysis. Time series data have some special features and they should be handled extremely cautiously. This book covers extensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters.Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. This part extends panel data analysis by taking dynamic panel data models which are most suitable for macroeconomic research.All chapters in this book are the applications of econometric models by using Stata 18 and R.Simple presentation of some difficult topics in a rigorous manner is the major strength of this book. The topics covered in this book are basics and necessary for econometrics training of every student in economics. In this edition, each chapter has been addressed in more compact manner by incorporating some additional topics. The book thus aims to enhance their interest on empirical research in economics and other fields of social science.
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In den Warenkorb4to. XIV pp + 263 pp. Encuadernación editorial. Muy buen estado.
Verlag: New York: Springer, 1999., 1999
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In den Warenkorb4to. XVIII pp + 386 pp. Encuadernación cartoné editorial. Excelente estado.
