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field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;
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. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and;
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Time Series Analysis, 2nd Edition is a thorough introduction to both time-domain and frequency-domain analyses of univariate and;
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series, polynomial geometry and differential topology. It navigates through several applications in numerous scientific domains such as physics;
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This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial;
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This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading;
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down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and;
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New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time;
Vergelijkbare producten zoals A Course in Time Series Analysis
This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining;
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in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and;
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graduate-level students who have taken an elementary class in statistical time series analysis, the book begins with the history and current;
Vergelijkbare producten zoals Handbook of Discrete-Valued Time Series
-level students who have taken an elementary class in statistical time series analysis, the book begins with the history and current methods for;
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considerations, experimental design and optimization techniques, multivariate analysis of environmental and chemical data sets, time series analysis, and;
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considerations, experimental design and optimization techniques, multivariate analysis of environmental and chemical data sets, time series analysis, and;
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statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data;
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-life time series data sets. The book also introduces univariate and multivariate time series models and methods which are useful for analyzing;
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This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples;
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contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation;
Vergelijkbare producten zoals Time Series Analysis in Climatology and Related Sciences
Time Series Models is a companion volume to Andrew Harvey's highly successful Econometric Analysis of Time Series. It takes students to;
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Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals;
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series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state;
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, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;
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, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;
Vergelijkbare producten zoals Multivariate Statistical Inference And Applications
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