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The Practice of Time Series Analysis

A collection of applied papers on time series, appearing here for the first time in English. The applications are primarily found;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Time Series Models for Business and Economic Forecasting

The econometric analysis of economic and business time series is a major field of research and application. The last few decades have;

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The Analysis of Time Series

Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and;

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The Analysis of Time Series

, 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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The Analysis of Time Series

, 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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Non-Linear Time Series

The analysis of time series data has for many years been a central component of statistical research and practice. Although the theory;

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Time Series Analysis

A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series;

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Spectral Analysis for Univariate Time Series

Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind;

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The Analysis of Time Series

Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different;

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Introduction To Time Series Analysis And Forecasting

of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents;

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Multivariate Time Series Analysis and Applications

field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;

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Practical Time Series Analysis

of the most powerful types of analysis-time-series. * Find patterns in your data and predict the future pattern based on historical data;

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Theory and Applications of Time Series Analysis

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the;

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Hidden Markov and Other Models for Discrete-Valued Time Series

developed which are specifically designed for the analysis of discrete-valued time series. Hidden Markov and Other Models for Discrete-Valued Time;

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Time Series Analysis in Climatology and Related Sciences

analysis in climatology or any other science where the time series are short.;

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Elements of Time Series Econometrics: An Applied Approach - Third Edition

application of theoretical tools, Elements of Time Series Econometrics is an approachable guide for the econometric analysis of time series. The text;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the;

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A Course in Time Series Analysis

concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic;

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Theory and Applications of Time Series Analysis

in Granada, Spain, on September 19-21, 2018. The first three parts of the book focus on the theory of time series analysis and forecasting, and;

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Computational Intelligence-based Time Series Analysis

The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high;

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The Foundations of Modern Time Series Analysis

This book develops the analysis of Time Series from its formal beginnings in the 1890s through to the publication of Box and Jenkins;

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The Foundations of Modern Time Series Analysis

This book develops the analysis of Time Series from its formal beginnings in the 1890s through to the publication of Box and Jenkins;

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Time Series Analysis and Forecasting by Example

the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the;

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Pooled Time Series Analysis

from observations at single points of time (cross section). Pooled Times Series Analysis combines time series and cross- sectional data to;

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Nonlinear Time Series Analysis

approaches to nonlinear time series analysis. The authors-noted experts in the field-explore the advantages and limitations of the nonlinear models;

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