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Azar y probabilidad en matemáticas

de Santiago Fernández Fernández ...

Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos ... Leer más

$249 MXN o gratis con Kobo Plus

Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos
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ECONOMETRIC MODELS WITH PANEL DATA. APPLICATIONS WITH STATA

de César Pérez López ...

The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different ... Leer más

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The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different
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First Look At Stochastic Processes, A

de Jeffrey S Rosenthal ...

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and ... Leer más

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This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and
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Nonparametric Statistics: Theory And Methods

de Jayant V Deshpande, Isha Dewan, Uttara Naik-nimbalkar ...

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications ... Leer más

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The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications
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Stochastic Pdes And Modelling Of Multiscale Complex System

de Xiaopeng Chen, Yan Lv, Wei Wang ...

Series Libro 20 - Interdisciplinary Mathematical Sciences
This volume is devoted to original research results and survey articles reviewing recent developments in reduction for stochastic PDEs with multiscale as well as application to science and technology, and to present some future research direction. This volume includes a dozen chapters by leading experts in the area, with a broad audience in mind. It should be accessible to graduate students, ... Leer más

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This volume is devoted to original research results and survey articles reviewing recent developments in reduction for stochastic PDEs with multiscale as well as application to science and technology, and to present some future research direction. This volume includes a dozen chapters by leading experts in the area, with a broad audience in mind. It should be accessible to graduate students,
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Stochastic Dynamics Of Complex Systems: From Glasses To Evolution

de Paolo Sibani, Henrik Jeldtoft Jensen ...

Series Libro 2 - Series On Complexity Science
Dynamical evolution over long time scales is a prominent feature of all the systems we intuitively think of as complex — for example, ecosystems, the brain or the economy. In physics, the term ageing is used for this type of slow change, occurring over time scales much longer than the patience, or indeed the lifetime, of the observer. The main focus of this book is on the stochastic processes ... Leer más

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Dynamical evolution over long time scales is a prominent feature of all the systems we intuitively think of as complex — for example, ecosystems, the brain or the economy. In physics, the term ageing is used for this type of slow change, occurring over time scales much longer than the patience, or indeed the lifetime, of the observer. The main focus of this book is on the stochastic processes
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Risk-sensitive Investment Management

de Mark H A Davis, Sebastien Lleo ...

Series Libro 19 - Advanced Series On Statistical Science And Applied Probability
Over the last two decades, risk-sensitive control has evolved into an innovative and successful framework for solving dynamically a wide range of practical investment management problems.This book shows how to use risk-sensitive investment management to manage portfolios against an investment benchmark, with constraints, and with assets and liabilities. It also addresses model implementation ... Leer más

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Over the last two decades, risk-sensitive control has evolved into an innovative and successful framework for solving dynamically a wide range of practical investment management problems.This book shows how to use risk-sensitive investment management to manage portfolios against an investment benchmark, with constraints, and with assets and liabilities. It also addresses model implementation
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MACHINE LEARNING: Neural Networks, Decision Trees and Support Vector Machine with IBM SPSS Modeler

de L. Marvin ...

Machine Learning techniques are intended to extract the knowledge contained in the data through models and other appropriate techniques. Within Machine Learning techniques there are two fundamental types: supervised learning techniques and unsupervised learning techniques. Supervised learning techniques include all those that use a model in which there are dependent variables and independent ... Leer más

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Machine Learning techniques are intended to extract the knowledge contained in the data through models and other appropriate techniques. Within Machine Learning techniques there are two fundamental types: supervised learning techniques and unsupervised learning techniques. Supervised learning techniques include all those that use a model in which there are dependent variables and independent
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Nonlinear Mixture Models: A Bayesian Approach

de Alan Schumitzky, Tatiana V Tatarinova ...

This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for ... Leer más

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This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for
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Modeling Anomalous Diffusion: From Statistics To Mathematics

de Weihua Deng, Ru Hou, Wanli Wang, Pengbo Xu ...

This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, ... Leer más

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This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics,
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Genealogies Of Interacting Particle Systems

de Matthias Birkner, Rongfeng Sun, Jan M Swart ...

Series Libro 38 - Lecture Notes Series, Institute For Mathematical Sciences, National University Of Singapore
Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The ... Leer más

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Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The
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Advanced Issues in Partial Least Squares Structural Equation Modeling

de Joe Hair, Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan ...

Written as an extension of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition*,* thiseasy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. The book provides a brief overview of basic concepts before moving to the more advanced material. ... Leer más

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Written as an extension of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition*,* thiseasy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. The book provides a brief overview of basic concepts before moving to the more advanced material.
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What Does the Clock Say? | A Telling Time Book for Kids

de Baby Professor ...

Why should your little one learn to tell time? At this age, kids would start requesting to wear watches. But other than a trendy style, telling time is also a culmination of your child’s skip counting, number and counting skills. It is recommended that you teach your child to read the analog clock first before moving on to the digital version. Secure a copy today. ... Leer más

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Extreme Values In Random Sequences

de Pavle Mladenović ...

Series series Mathematics and Statistics (R0)
The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting distributions of maxima in incomplete samples from stationary sequences, and results related to extremal properties of different combinatorial configurations. The necessary contents related to regularly varying functions and basic results of extreme value theory are included in ... Leer más

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The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting distributions of maxima in incomplete samples from stationary sequences, and results related to extremal properties of different combinatorial configurations. The necessary contents related to regularly varying functions and basic results of extreme value theory are included in
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Semigroups, Categories, and Partial Algebras

ICSAA 2019, Kochi, India, December 9–12

Edición de P. G. Romeo, Mikhail V. Volkov, A. R. Rajan ...

Series series Springer Nature Proceedings excluding Computer Science
This book is a collection of selected papers presented at the International Conference on Semigroups and Applications, held at the Cochin University of Science and Technology, India, from December 9–12, 2019. This book discusses the recent developments in semigroups theory, category theory and the applications of these in various areas of research, including structure theory of semigroups, ... Leer más

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This book is a collection of selected papers presented at the International Conference on Semigroups and Applications, held at the Cochin University of Science and Technology, India, from December 9–12, 2019. This book discusses the recent developments in semigroups theory, category theory and the applications of these in various areas of research, including structure theory of semigroups,
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Mathematics of Computational Finance

de Andrzej Palczewski ...

The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and covers the material of standard courses in computational finance. The book presents the best-known methods of multinomial trees, Monte Carlo simulations for European, American, and exotic options, and ... Leer más

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The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and covers the material of standard courses in computational finance. The book presents the best-known methods of multinomial trees, Monte Carlo simulations for European, American, and exotic options, and
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Security Relations between China and the European Union

From Convergence to Cooperation?

Edición de Emil J. Kirchner, Thomas Christiansen, Han Dorussen ...

Over the past decade, the EU and China have expanded their relations beyond a focus on economic and trade issues to the sphere of security. Taking a broad definition of security, a multidisciplinary approach, and a comparative perspective (including scholars from both Europe and China), this book provides an in-depth analysis of the extent to which the EU and China not only express similar threat ... Leer más

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Over the past decade, the EU and China have expanded their relations beyond a focus on economic and trade issues to the sphere of security. Taking a broad definition of security, a multidisciplinary approach, and a comparative perspective (including scholars from both Europe and China), this book provides an in-depth analysis of the extent to which the EU and China not only express similar threat
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Stochastic Calculus for Finance

de Marek Capiński, Ekkehard Kopp, Janusz Traple ...

Series series Mastering Mathematical Finance
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This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black–Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the
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Understanding Probability

de Henk Tijms ...

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third ... Leer más

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A Basic Course in Measure and Probability

Theory for Applications

de Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras ...

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in ... Leer más

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Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in
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de Alexander Melnikov ...

Series series Mathematics and Statistics (R0)
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The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic analysis and to show how these methods and results work in mathematical finance and statistics of
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MACHINE LEARNING:Decision Trees and Applications with IBM SPSS Modeler

de L. Marvin ...

Machine Learning techniques are intended to extract the knowledge contained in the data through models and other appropriate techniques. Within Machine Learning techniques there are two fundamental types: supervised learning techniques and unsupervised learning techniques. Supervised learning techniques include all those that use a model in which there are dependent variables and independent ... Leer más

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Generalized Stochastic Processes

Modelling and Applications of Noise Processes

de Stefan Schäffler ...

Series series Compact Textbooks in Mathematics
This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstanding role in noise modelling. Secondly, this textbook is a guide to noise modelling for mathematicians and engineers to foster the interdisciplinary discussion between mathematicians (to provide ... Leer más

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This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstanding role in noise modelling. Secondly, this textbook is a guide to noise modelling for mathematicians and engineers to foster the interdisciplinary discussion between mathematicians (to provide
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Phenological Research

Methods for Environmental and Climate Change Analysis

Edición de Irene L. Hudson, Marie R. Keatley ...

As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact.A multidisciplinary science involving many branches of ecology, geography and remote ... Leer más

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As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact.A multidisciplinary science involving many branches of ecology, geography and remote
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eBooks de Probabilidad

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ECONOMETRIC MODELS WITH PANEL DATA. APPLICATIONS WITH STATA

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Nonparametric Statistics: Theory And Methods

Stochastic Pdes And Modelling Of Multiscale Complex System

Stochastic Dynamics Of Complex Systems: From Glasses To Evolution

Risk-sensitive Investment Management

MACHINE LEARNING: Neural Networks, Decision Trees and Support Vector Machine with IBM SPSS Modeler

Nonlinear Mixture Models: A Bayesian Approach

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Genealogies Of Interacting Particle Systems

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Semigroups, Categories, and Partial Algebras

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