Using Time Series To Analyze Long Range Fractal Patterns
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Using Time Series To Analyze Long Range Fractal Patterns
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Author : Matthijs Koopmans
language : en
Publisher: SAGE Publications
Release Date : 2020-09-23
Using Time Series To Analyze Long Range Fractal Patterns written by Matthijs Koopmans and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-23 with Social Science categories.
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar in appearance, but unlike seasonal patterns more familiar to social scientists, repeated over a time scale that is not fixed. Until now, the application of these methods has mainly involved analysis of dynamical systems outside of the social sciences, but this volume makes it possible for social scientists to explore and document fractal patterns in dynamical social systems. Author Matthijs Koopmans concentrates on two general approaches to irregularity in long time series: autoregressive fractionally integrated moving average models, and power spectral density analysis. He demonstrates the methods through two kinds of examples: simulations that illustrate the patterns that might be encountered and serve as a benchmark for interpreting patterns in real data; and secondly social science examples such a long range data on monthly unemployment figures, daily school attendance rates; daily numbers of births to teens, and weekly survey data on political orientation. Data and R-scripts to replicate the analyses are available on an accompanying website.
Preparing Data For Analysis
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Author : Bianca Manago
language : en
Publisher: SAGE Publications
Release Date : 2025-07-07
Preparing Data For Analysis written by Bianca Manago and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Social Science categories.
This book focuses on the process of preparing raw data for analysis—commonly known as data cleaning. It covers a range of topics including data compilation, variable naming and labeling, data examination, and variable re-coding and transformations, among others. Author Bianca Manago discusses best practices for data preparation and analysis, emphasizing the importance of prioritizing transparency, best practices for writing script files, and file naming and organization. Two example projects and datasets are used to illustrate the methods in the book, and the datasets, script files, and output files in both R and Stata are available to download at https://github.com/biancamanago/DataPreparation_QASS2025.
Fractal Analyses Statistical And Methodological Innovations And Best Practices
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Author : John G. Holden
language : en
Publisher: Frontiers E-books
Release Date : 2013-06-03
Fractal Analyses Statistical And Methodological Innovations And Best Practices written by John G. Holden and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with categories.
Many statistical and methodological developments regarding fractal analyses have appeared in the scientific literature since the publication of the seminal texts introducing Fractal Physiology. However, the lion’s share of more recent work is distributed across many outlets and disciplines, including aquatic sciences, biology, computer science, ecology, economics, geology, mathematics, medicine, neuroscience, physics, physiology, psychology, and others. The purpose of this special topic is to solicit submissions regarding fractal and nonlinear statistical techniques from experts that span a wide range of disciplines. The articles will aggregate extensive cross-discipline expertise into comprehensive and broadly applicable resources that will support the application of fractal methods to physiology and related disciplines. The articles will be organized with respect to a continuum defined by the characteristics of the empirical measurements a given analysis is intended to confront. At one end of the continuum are stochastic techniques directed at assessing scale invariant but stochastic data. The next step in the continuum concerns self-affine random fractals and methods directed at systems that entail scale-invariant or 1/f patterns or related patterns of temporal and spatial fluctuation. Analyses directed at (noisy) deterministic signals correspond to the final stage of the continuum that relates the statistical treatments of nonlinear stochastic and deterministic signals. Each section will contain introductory articles, advanced articles, and application articles so readers with any level of expertise with fractal methods will find the special topic accessible and useful. Example stochastic methods include probability density estimation for the inverse power-law, the lognormal, and related distributions. Articles describing statistical issues and tools for discriminating different classes of distributions will be included. An example issue is distinguishing power-law distributions from exponential distributions. Modeling issues and problems regarding statistical mimicking will be addressed as well. The random fractal section will present introductions to several one-dimensional monofractal time-series analysis. Introductory articles will be accompanied by advanced articles that will supply comprehensive treatments of all the key fractal time series methods such as dispersion analysis, detrended fluctuation analysis, power spectral density analysis, and wavelet techniques. Box counting and related techniques will be introduced and described for spatial analyses of two and three dimensional domains as well. Tutorial articles on the execution and interpretation of multifractal analyses will be solicited. There are several standard wavelet based and detrended fluctuation based methods for estimating a multifractal spectrum. We hope to include articles that contrast the different methods and compare their statistical performance as well. The deterministic methods section will include articles that present methods of phase space reconstruction, recurrence analysis, and cross-recurrence analysis. Recurrence methods are widely applicable, but motivated by signals that contain deterministic patterns. Nonetheless recent developments such as the analysis of recurrence interval scaling relations suggest applicability to fractal systems. Several related statistical procedures will be included in this section. Examples include average mutual information statistics and false nearest neighbor analyses.
Sequence Analysis
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Author : Marcel Raab
language : en
Publisher: SAGE Publications
Release Date : 2022-04-11
Sequence Analysis written by Marcel Raab and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Social Science categories.
Sequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possible to address sequence-oriented questions. This volume introduces the basics of SA to guide practitioners and support instructors through the basic workflow of sequence analysis. In addition to the basics, this book outlines recent advances and innovations in SA. The presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the repercussions of specific analytical choices. The extensive ancillary material supports self-learning based on real-world survey data and research questions from the field of life course research. Data and code and a variety of additional resources to enrich the use of this book are available on an accompanying website.
Fractals And Beyond Complexities In The Sciences
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Author : Miroslav M Novak
language : en
Publisher: World Scientific
Release Date : 1998-08-25
Fractals And Beyond Complexities In The Sciences written by Miroslav M Novak and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-25 with categories.
One of the ways to understand the complexity in scientific disciplines is through the use of fractal geometry. Tremendous progress has been made in this field since its inception some two decades ago. This book collects the papers at the cutting-edge, reflecting the current status of fractals. With its special emphasis on the multidisciplinary research, the book represents a unique contribution to the understanding of the complex phenomena in nature.
Fractals In Biology And Medicine
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Author : Gabriele A. Losa
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30
Fractals In Biology And Medicine written by Gabriele A. Losa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Mathematics categories.
This volume is number four in a series of proceedings volumes from the International Symposia on Fractals in Biology and Medicine in Ascona, Switzerland which have been inspired by the work of Benoît Mandelbrot seeking to extend the concepts towards the life sciences. It highlights the potential that fractal geometry offers for elucidating and explaining the complex make-up of cells, tissues and biological organisms either in normal or in pathological conditions.
The Fractal Geometry Of The Brain
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Author : Antonio Di Ieva
language : en
Publisher: Springer Nature
Release Date : 2024-03-12
The Fractal Geometry Of The Brain written by Antonio Di Ieva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Science categories.
The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.
Misinformation And Fake News In Education
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Author : Panayiota Kendeou
language : en
Publisher: IAP
Release Date : 2019-09-01
Misinformation And Fake News In Education written by Panayiota Kendeou and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-01 with Education categories.
Today, like no other time in our history, the threat of misinformation and disinformation is at an all-time high. This is also true in the field of Education. Misinformation refers to false information shared by a source who intends to inform, but is unaware that the information is false, such as when an educator who recommends the use of a learning strategy that is not actually beneficial. Disinformation is false information shared by a source who has the intent to deceive and is aware that the information is false, such as when a politician claim that high-stakes testing will fix K-12 education when in fact there is no evidence to support this practice. This book provides recent examples of how misinformation and disinformation manifest in the field of education and remedies. Section One, Susceptibility to Misinformation, focuses on factors that influence the endorsement and persistence of misinformation. This section will include chapters on: the appeal and persistence of “zombie concepts” in education; learner and message factors that underlie the adoption of misinformation in the context of the newly proposed Likelihood of Adoption Model; cognitive and motivational factors that contribute to misinformation revision failure; cognitive biases and bias transfer in criminal justice training; the influence of conspiratorial and political ideation on the use of misinformation; and, how educational culture and policy has historically given rise to quackery in education. Section Two, Practices in the Service of Reducing Misinformation in Education, focuses on practices aimed at reducing the impact of misinformation, and includes chapters on: misinformation in the education of children with ASD and its influence on educational and intervention practices; the promise of using dynamical systems and computational linguistics to model the spread of misinformation; systematic attempts to reduce misinformation in psychology and education both in and out of the classroom; and the potential perils of constructivism in the classroom, as well as the teaching of critical thinking. Each section has a discussion chapter that explicates emerging themes and lessons learned and fruitful avenues for future research.
Modeling Nonlinearity And Interaction In Regression Analysis Using Spline Variables
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Author : Roger A. Wojtkiewicz
language : en
Publisher: SAGE Publications
Release Date : 2025-05-22
Modeling Nonlinearity And Interaction In Regression Analysis Using Spline Variables written by Roger A. Wojtkiewicz and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Social Science categories.
"Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field." --Man-Kit Lei, The University of Georgia This volume addresses the issue of linear constraints in regression modeling. Author Roger A. Wojtkiewicz uses the method of knotted spline variables (also known as piecewise linear regression) and a new method involving group spline variables to model nonlinearity in a variety of situations. Using spline variables to model nonlinearity allows researchers to specify unrestricted models for models that involve interval variables, allowing for greater flexibility in modeling any possible interaction.
Dynamic Fuzzy Pattern Recognition With Applications To Finance And Engineering
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Author : Larisa Angstenberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Dynamic Fuzzy Pattern Recognition With Applications To Finance And Engineering written by Larisa Angstenberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.
Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.