Time Series Analysis – alle Bücher

Robert H. Shumway, David S. Stoffer
Time Series Analysis and Its Applications

This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using n…

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Theory and Applications of Time Series Analysis

This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address …

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Katsuto Tanaka
Brownian Motion, the Fredholm Determinant, and Time Series Analysis

Brownian motion is an important topic in various applied fields where the analysis of random events is necessary. Introducing Brownian motion from a statistical viewpoint, this detailed text examines the …

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Regina Baker
Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference

Explore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplinesApplied Time Series Analysis for the Social Sciences: Specificatio…

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Avraam Charakopoulos, Theodoros Karakasidis
Time Series and Networks Analysis

This textbook provides students with a hands-on introduction to time series analysis. Readers will learn the potential of the methods but also benefit from a step-by-step guide to apply them on simple dat…

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Time Series and Wavelet Analysis

Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career spanning a…

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Lajos Horváth, Gregory Rice
Change Point Analysis for Time Series

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models. The book primarily focuses on asymptotic the…

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¿Ukasz Pawlik
R Applications in Earth Sciences

This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticate…

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Silvio José Gumiere, Hossein Bonakdari
Computational Methods for Time-Series Analyses in Earth Sciences

Computational Methods for Time-Series Analyses in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for man…

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Oliver Linton
Time Series for Economics and Finance

"Written for advanced undergraduate and graduate students in economics and finance, this textbook provides comprehensive training in time series analysis using modern techniques from data science. Co…

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Dmytro Zherlitsyn
Financial Data Analysis Using Python

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio t…

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Giorgos Tsironis
Artificial Intelligence and Complex Dynamical Systems

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific d…

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Panagiotis E. Petrakis, Anna-Maria Kanzola, Giorgos Vasilis
The Political Economy of Long-term Planning

This book breaks down new ways to use foresight and economic theory to enhance economic planning at a national level.Economic forecasting models often rely on time-series analysis. While important, these …

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Temporal Network Theory

This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the boo…

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Azhar Ul Haque Sario
Stock Price Predictions

This comprehensive guide explores stock market prediction models, catering to both novice and seasoned investors. It provides detailed explanations of traditional and modern approaches, including Fundamen…

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Patricia Melin, Martha Ramirez, Oscar Castillo
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the bra…

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Time and Fractals

This edited volume discusses time and fractal phenomena in economics, entrepreneurship, and management. Chapters embrace a wide spectrum of topics, such as time series analysis of entrepreneurial orientat…

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Klaus Neusser
Time Series Econometrics

This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and its …

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Martin H. Trauth
MATLAB® Recipes for Earth Sciences

MATLAB® is used in a wide range of geoscientific applications, such as for image processing in remote sensing, for generating and processing digital elevation models, and for analyzing time series. This b…

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Martin H. Trauth
Python Recipes for Earth Sciences

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This boo…

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