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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

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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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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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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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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Time Series Analysis in Climatology and Related Sciences

This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It;

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Introduction To Time Series Analysis And Forecasting

the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges;

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An Introduction to State Space Time Series Analysis

daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a;

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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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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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ITSM

Designed for the analysis of linear time series and the practical modelling and prediction of data collected sequentially in time. It;

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Design and Analysis of Time Series Experiments

, biomedical and social sciences. Readers learn not only how-to skills but, also the underlying rationales for the design features and the analytical;

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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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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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Bayesian Inference in the Social Sciences

* Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for;

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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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Interrupted Time Series Analysis

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It;

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Time Series Modeling of Neuroscience Data

time series An innovation-based method for spatial time series modeling for fMRI data analysis The main point of interest in this book is to;

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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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GIS-based Studies in the Humanities and Social Sciences

it. Resulting from a six-year project entitled Spatial Information Science for the Humanities and Social Sciences (SIS for HSS), GIS-Based;

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GIS-based Studies in the Humanities and Social Sciences

it. Resulting from a six-year project entitled Spatial Information Science for the Humanities and Social Sciences (SIS for HSS), GIS-Based;

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Time Series Analysis and its Applications

monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social;

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