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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 Analysis for the Social Sciences

Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties;

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Spatial Analysis for the Social Sciences

Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis;

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Spatial Analysis for the Social Sciences

Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis;

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Time Series Analysis for the Social Sciences

, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and;

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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 Climatology and Related Sciences

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

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An Introduction to State Space Time Series Analysis

series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic;

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Using Time Series to Analyze Long-Range Fractal Patterns

of the social sciences, but this volume makes it possible for social scientists to explore and document fractal patterns in dynamical social;

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Theory and Applications of Time Series Analysis

. In turn, the last three parts are dedicated to applied topics and include papers on time series analysis in the earth sciences, energy time series;

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ITSM

, engineering, and the natural and social sciences. This package is intended as a supplement to the text by the same authors, Time Series: Theory and;

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Foundations of Time Series Analysis and Prediction Theory

This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and;

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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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Time Series Analysis

useful reference for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational;

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Design and Analysis of Time Series Experiments

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent;

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Classification, (Big) Data Analysis and Statistical Learning

, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic;

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Psychology After Discourse Analysis

, social constructionism and the postmodern turn in the social sciences. The final chapters describe the limitations of discourse analysis and;

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Psychology After Discourse Analysis

explores relations between discourse analysis, psychoanalysis, social constructionism and the postmodern turn in the social sciences. The final;

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Handbook of Time Series Analysis

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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Bayesian Inference in the Social Sciences

methods, computational analysis, and the social sciences.;

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Time Series Analysis

sciences who want to know how time series can be used in their areas of research. The book provides useful examples that show the operational;

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Time and Social Theory

Time is at the forefront of contemporary scholarly inquiry across the natural sciences and the humanities. Yet the social sciences have;

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Time Series Data Analysis Using EViews

Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to;

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Applied Time Series Analysis with R

students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis;

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Applied Time Series Analysis with R

students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis;

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Interrupted Time Series Analysis

examples. With forty completed example analyses that demonstrate the implications of model properties, Interrupted Time Series Analysis will be a;

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