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Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long;
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non-Euclidean contexts. In addition, the book applies these fractal dimensions to explore long-memory in financial markets;
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incorporate ideas from fractal geometry to develop measures of geographic range fragmentation, and can be used to ask questions regarding the;
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Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series;
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models for individual movement behavior. They use this framework to develop a series of mechanistic home range models for carnivore populations;
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remain controversial. In chapter 2 V.P. Dimri and R.P. Srivastava model this behavior using Voronoi tessellations. Another approach to;
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analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory;
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analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory;
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The book Fractal Analysis is a collection of contemporaneous articles aims to guide the reader through the world of fractals. A world;
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Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most;
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Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most;
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* Learn how to use auto-regressive models to make predictions using time-series data * Build predictive models on time series using techniques;
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students with opportunities to practise listening, expressing ideas, asking questions, using imagination, making predictions, experimenting with;
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. Multifractals: Theory and Applications pulls together ideas from both these areas using a language that makes them accessible and useful to statistical;
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accomplish your long-term goals. Sudoku is a game that trains you to see patterns and analyze them, too. Seeing patterns will soon help you to;
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The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new;
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The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new;
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volatility. In the time series literature this phenomenon is known as long memory or long range dependence. An alternative view are structural breaks;
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comprehensive and accessible introduction to the mathematical theory and applications of fractals * Carefully explains each topic using illustrative;
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The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories;
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Network traffic has fractal properties such as impulsiveness, selfsimilarity, and long-range dependence over several time scales, from;
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The second book in the Fractal Complexity series continues its in-depth review of the works of major African and Black thinkers from the;
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This collection of contributions originates from the well-established conference series Fractal Geometry and Stochastics which brings;
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This book provides an important structural analysis of polymer solutions and melts, using fractal analysis. The book covers the theoretical;
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