Moments In Time A Model S Book


Moments In Time A Model S Book
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Moments In Time A Model S Book


Moments In Time A Model S Book
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Author : Claudia Rhodes
language : en
Publisher: Xlibris Corporation
Release Date : 2012-08-07

Moments In Time A Model S Book written by Claudia Rhodes and has been published by Xlibris Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-07 with Biography & Autobiography categories.


Right now I’m feeling much pain, so much so that if I don’t write this story I promised my kids would soon be done and always and never materialized, which has to be done, if only for my own sanity and to ultimately free us all up, I will feel lost. Now. What I didn’t expect to write is this other story. But that must be told to give a better understanding of why this whole mess happened anyway. My dupey heads might come up with better reasons, and then maybe someday they’ll write their books with fond memories and less pain. A bestseller will be yours, I’m sure. If not in the bookstores, it will be in your hearts. I started writing my book over thirty years ago and some. (Smile.)



The Rhythm Of Modernization How Values Change Over Time


The Rhythm Of Modernization How Values Change Over Time
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Author : Raül Tormos
language : en
Publisher: BRILL
Release Date : 2019-11-04

The Rhythm Of Modernization How Values Change Over Time written by Raül Tormos and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-04 with Social Science categories.


In The Rhythm of Modernization, Raül Tormos studies the pace at which belief systems change across the developed world during the modernization process. Contradicting value theories’ assumptions, citizens adapt their beliefs to new circumstances throughout life and modernization happens faster than predicted.



Non Linear Time Series


Non Linear Time Series
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Author : Kamil Feridun Turkman
language : en
Publisher: Springer
Release Date : 2014-09-29

Non Linear Time Series written by Kamil Feridun Turkman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Mathematics categories.


This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included. Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basic understanding of nonlinear time series.



Logic Reference Book For Computer Scientists


Logic Reference Book For Computer Scientists
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Author : Lech T. Polkowski
language : en
Publisher: Springer Nature
Release Date : 2023-11-04

Logic Reference Book For Computer Scientists written by Lech T. Polkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-04 with Computers categories.


The book gives all interested in computer science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logics. The content will be valid as well for those interested in linguistic, philosophy and many other areas of research both in humane and technical branches of science as logic permeates all genuine realms of science. The book contains a substantial part of classical results in logic like those by Gödel, Tarski, Church and Rosser as well as later developments like many-valued logics, logics for knowledge engineering, first-order logics plus inductive definitions. The exposition is rigorous yet without unnecessary abstractionism, so it should be accessible to readers from many disciplines of science. Each chapter contains a problem section, and problems are borrowed from research publications which allows for passing additional information, and it allows readers to test their skills. Extensive bibliography of 270 positions directs readers to research works of importance.



Modeling Social Behavior


Modeling Social Behavior
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Author : Paul Smaldino
language : en
Publisher: Princeton University Press
Release Date : 2023-10-03

Modeling Social Behavior written by Paul Smaldino and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Social Science categories.


A comprehensive introduction to mathematical and agent-based modeling of social behavior This book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs. It covers a variety of modeling topics, each exemplified by one or more archetypal models, and helps readers to develop strong theoretical foundations for understanding social behavior. Modeling Social Behavior equips social, behavioral, and cognitive scientists with an essential tool kit for thinking about and studying complex social systems using mathematical and computational models. Combines both mathematical and agent-based modeling of social behavior Integrates cognitive science, social science, and cultural evolution Covers topics such as the philosophy of modeling, collective movement, segregation, contagion, polarization, the evolution of cooperation, the emergence of norms, networks, and the scientific process Discusses more advanced topics, including how to use models to build a more robust empirical research program An ideal introductory textbook for graduate students or advanced undergraduates An invaluable resource for practitioners



State Space Methods For Time Series Analysis


State Space Methods For Time Series Analysis
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Author : Jose Casals
language : en
Publisher: CRC Press
Release Date : 2018-09-03

State Space Methods For Time Series Analysis written by Jose Casals and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Mathematics categories.


The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreover, it can accommodate with a reasonable effort nonstandard situations, such as observation errors, aggregation constraints, or missing in-sample values. Exploring the advantages of this approach, State-Space Methods for Time Series Analysis: Theory, Applications and Software presents many computational procedures that can be applied to a previously specified linear model in state-space form. After discussing the formulation of the state-space model, the book illustrates the flexibility of the state-space representation and covers the main state estimation algorithms: filtering and smoothing. It then shows how to compute the Gaussian likelihood for unknown coefficients in the state-space matrices of a given model before introducing subspace methods and their application. It also discusses signal extraction, describes two algorithms to obtain the VARMAX matrices corresponding to any linear state-space model, and addresses several issues relating to the aggregation and disaggregation of time series. The book concludes with a cross-sectional extension to the classical state-space formulation in order to accommodate longitudinal or panel data. Missing data is a common occurrence here, and the book explains imputation procedures necessary to treat missingness in both exogenous and endogenous variables. Web Resource The authors’ E4 MATLAB® toolbox offers all the computational procedures, administrative and analytical functions, and related materials for time series analysis. This flexible, powerful, and free software tool enables readers to replicate the practical examples in the text and apply the procedures to their own work.



Financial Econometrics And Empirical Market Microstructure


Financial Econometrics And Empirical Market Microstructure
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Author : Anil K. Bera
language : en
Publisher: Springer
Release Date : 2014-11-18

Financial Econometrics And Empirical Market Microstructure written by Anil K. Bera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-18 with Business & Economics categories.


In the era of Big Data our society is given the unique opportunity to understand the inner dynamics and behavior of complex socio-economic systems. Advances in the availability of very large databases, in capabilities for massive data mining, as well as progress in complex systems theory, multi-agent simulation and computational social science open the possibility of modeling phenomena never before successfully achieved. This contributed volume from the Perm Winter School address the problems of the mechanisms and statistics of the socio-economics system evolution with a focus on financial markets powered by the high-frequency data analysis. ​



Identification Of Continuous Time Systems


Identification Of Continuous Time Systems
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Author : Allamaraju Subrahmanyam
language : en
Publisher: CRC Press
Release Date : 2019-12-06

Identification Of Continuous Time Systems written by Allamaraju Subrahmanyam and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Technology & Engineering categories.


Models of dynamical systems are required for various purposes in the field of systems and control. The models are handled either in discrete time (DT) or in continuous time (CT). Physical systems give rise to models only in CT because they are based on physical laws which are invariably in CT. In system identification, indirect methods provide DT models which are then converted into CT. Methods of directly identifying CT models are preferred to the indirect methods for various reasons. The direct methods involve a primary stage of signal processing, followed by a secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation—computational or realized through prefilters, to preserve the system parameters in their native CT form—and the literature is rich on this aspect. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation, Allamaraju Subrahmanyam and Ganti Prasada Rao consider CT system models that are linear in their unknown parameters and propose robust methods of estimation. This book complements the existing literature on the identification of CT systems by enhancing the secondary stage through linear and robust estimation. In this book, the authors provide an overview of CT system identification, consider Markov-parameter models and time-moment models as simple linear-in-parameters models for CT system identification, bring them into mainstream model parameterization via basis functions, present a methodology to robustify the recursive least squares algorithm for parameter estimation of linear regression models, suggest a simple off-line error quantification scheme to show that it is possible to quantify error even in the absence of informative priors, and indicate some directions for further research. This modest volume is intended to be a useful addition to the literature on identifying CT systems.



Technological Concepts And Mathematical Models In The Evolution Of Modern Engineering Systems


Technological Concepts And Mathematical Models In The Evolution Of Modern Engineering Systems
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Author : Mario Lucertini
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-11-27

Technological Concepts And Mathematical Models In The Evolution Of Modern Engineering Systems written by Mario Lucertini 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 2003-11-27 with Mathematics categories.


This collection of historical research studies covers the evolution of technology as knowledge, the emergence of an autonomous engineering science in the Industrial Age, the idea of scientific managment of production and operation systems, and the interaction between mathematical models and technological concepts. The book is published with the support of the UNESCO Venice Office - Regional Office for Science & Technology in Europe as an activity of the Project: The evolution of events, concepts and models in engineering systems.



Spatial Microeconometrics


Spatial Microeconometrics
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Author : Giuseppe Arbia
language : en
Publisher: Routledge
Release Date : 2021-03-25

Spatial Microeconometrics written by Giuseppe Arbia and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-25 with Business & Economics categories.


Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.