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Econometrics. --- Time-series analysis. --- AA / International- internationaal --- 304.0 --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Econometrics --- Time-series analysis --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Economics, Mathematical --- Statistics --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Économétrie

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Time-series analysis --- Mathematical models. --- 304.0 --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Econometrics --- Mathematical models --- E-books --- Economics, Mathematical --- Statistics

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Time-series analysis --- 304.0 --- AA / International- internationaal --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen

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"Since the publication of his first book, Analysis of Financial Time Series, Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA modeling and, hence, eases comprehension. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The book utilizes the freely available R software package to explore complex data and illustrate related computation and analyses in a user-friendly way. An author-maintained website features additional data sets in R, Matlab and Stata scripts so readers can create their own simulations and test their comprehension of the presented techniques"--

Mathematical statistics --- Time-series analysis --- R (Computer program language) --- Econometric models --- AA / International- internationaal --- 304.0 --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Time series analysis. --- Econometric models. --- Série chronologique --- R (Langage de programmation) --- Modèles économétriques --- Programming --- Analysis of time series --- GNU-S (Computer program language) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Autocorrelation (Statistics) --- Harmonic analysis --- Probabilities --- Domain-specific programming languages --- Econometrics --- Mathematical models

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An introduction to the practical application of cluster analysis, Finding Groups in Data presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. The text discusses the main approaches to clustering and provides guidance in choosing between the available methods. It also discusses various types of data, including interval-scaled and binary variables as well as similarity data and explains how these can be transformed prior to clustering. With numerous exercises to aid learning, Finding Groups in Data provides an invaluable introduction to cluster analysis with an emphasis on methods that are both easy to use and modern.

Mathematical statistics --- Cluster analysis --- Classification automatique (Statistique) --- Cluster analysis. --- AA / International- internationaal --- 303.0 --- 304.0 --- 519.53 --- Correlation (Statistics) --- Multivariate analysis --- Spatial analysis (Statistics) --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen