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Modelling Trends and Cycles in Economic Time Series

of techniques and the considerations that underpin their choice for modelling trends and cycles.;

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Modelling Trends and Cycles in Economic Time Series

(almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for;

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Modelling Trends and Cycles in Economic Time Series

(almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for;

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Time Series Techniques for Economists

The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the;

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Cointegration for the Applied Economist

edition is thoroughly revised and updated and explains how to use many recent technical developments in time series econometrics. The main;

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Business Cycles, Indicators, and Forecasting

econometric models, and discuss new methods for forecasting and time series analysis. The volume begins with an examination of the historical;

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Fusion Methods for Time-Series Classification

Time-series classification is the common theoretical background of many recognition tasks performed by computers, such as handwriting;

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Time Series and Panel Data Econometrics

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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Time Series

Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis;

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Time Series for Data Science

Practical Time Series Analysis for Data Science is an accessible guide that doesn't require a background in calculus to be engaging;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use;

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Rats

The RATS Handbook for Econometric Time Series is a very valuable resource for beginning RATS users as well as experienced users looking to;

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Time Series Prediction

range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.;

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Handbook of Discrete-Valued Time Series

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time;

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Handbook of Discrete-Valued Time Series

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time;

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Time Series Models for Business and Economic Forecasting

textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a;

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Time Series Models for Business and Economic Forecasting

textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a;

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Wavelet Methods for Time Series Analysis

transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the;

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The Foundations of Modern Time Series Analysis

' watershed publication in 1970, showing how these methods laid the foundations for the modern techniques of Time Series analysis that are in use;

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The Foundations of Modern Time Series Analysis

' watershed publication in 1970, showing how these methods laid the foundations for the modern techniques of Time Series analysis that are in use;

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Time Series Analysis

Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. The book focuses on the;

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Time Series Algorithms Recipes

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;

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Time Series Clustering and Classification

, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for;

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Time Series Clustering and Classification

, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for;

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Data Mining In Time Series Databases

presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based;

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Applied Econometric Analysis

cointegration, machine learning, and time series analysis, this book is ideally designed for economists, policymakers, financial analysts, marketers;

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Introduction to Time Series Using Stata

Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques-from the;

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