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I Learn the Numbers! I Can Tell Time! Counting and Telling Time for Kids - Baby & Toddler Time Books

av Baby Professor ...

Counting and telling time go well together. When a child can count, then the next big step to make is to tell time. Telling time also involves the ability to skip count, more particularly by 5s. But the purpose of this educational resource goes beyond math because it also reveals the value of time. Are you ready to teach your child the true meaning of time? ... Les mer

33,12 kr

Counting and telling time go well together. When a child can count, then the next big step to make is to tell time. Telling time also involves the ability to skip count, more particularly by 5s. But the purpose of this educational resource goes beyond math because it also reveals the value of time. Are you ready to teach your child the true meaning of time?
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Elements Of Stochastic Dynamics

av Guo-qiang Cai, Weiqiu Zhu ...

Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic ... Les mer

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Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic
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Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management

av Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank J Fabozzi, Sergio Focardi ...

Serie Bok 7 - World Scientific Handbook In Financial Economics Series
The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are ... Les mer

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The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are
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Random Processes: First-passage And Escape

av Jaume Masoliver ...

Random processes are one of the most powerful tools in the study and understanding of countless phenomena in natural and social sciences.The book is a complete medium-level introduction to the subject. The book is written in a clear and pedagogical manner but with enough rigor and scope that can appeal to both students and researchers.This book is addressed to advanced students and professional ... Les mer

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Random processes are one of the most powerful tools in the study and understanding of countless phenomena in natural and social sciences.The book is a complete medium-level introduction to the subject. The book is written in a clear and pedagogical manner but with enough rigor and scope that can appeal to both students and researchers.This book is addressed to advanced students and professional
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Multivariate Normal Distribution, The: Theory And Applications

av Thu Pham-gia ...

This book provides the reader with user-friendly applications of normal distribution. In several variables it is called the multinormal distribution which is often handled using matrices for convenience. The author seeks to make the arguments less abstract and hence, starts with the univariate case and moves progressively toward the vector and matrix cases. The approach used in the book is a ... Les mer

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This book provides the reader with user-friendly applications of normal distribution. In several variables it is called the multinormal distribution which is often handled using matrices for convenience. The author seeks to make the arguments less abstract and hence, starts with the univariate case and moves progressively toward the vector and matrix cases. The approach used in the book is a
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MACHINE LEARNING. SUPERVISED LEARNING TECHNIQUES: REGRESSION. Examples with SAS and MATLAB

av César Pérez lópez ...

In this book, supervised learning techniques related to regression will be developed. More specifically, we will go deeper into the linear models, LASSO regression, LARS LASSO regression, RIDGE Regression, Least Angle Regression, Multitask LASSO regression, Elastic Net Regression, Multi task Elastic Net Regression, SGD Regression, Support Vector Regression SVR, Robust Regression, Huber Regression, ... Les mer

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In this book, supervised learning techniques related to regression will be developed. More specifically, we will go deeper into the linear models, LASSO regression, LARS LASSO regression, RIDGE Regression, Least Angle Regression, Multitask LASSO regression, Elastic Net Regression, Multi task Elastic Net Regression, SGD Regression, Support Vector Regression SVR, Robust Regression, Huber Regression,
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DESCRIPTIVE STATISTICS WITH R

av César Pérez López ...

R is a programming language and environment for statistical and graphical analysis. It is a free software project widely used by the statistical community. R implements a multitude of commands and functions to work in the statistical field. Specifically, this book delves into the work with R in Descriptive Statistics. It incorporates the functions for initial data treatment, exploratory data ... Les mer

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R is a programming language and environment for statistical and graphical analysis. It is a free software project widely used by the statistical community. R implements a multitude of commands and functions to work in the statistical field. Specifically, this book delves into the work with R in Descriptive Statistics. It incorporates the functions for initial data treatment, exploratory data
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PREDICTIVE ANALYTICS WITH NEURAL NETWORKS USING MATLAB

av César Pérez López ...

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Different work fields with neural networks and predictive analytics techniques are listed below. • The multilayer perceptron (MLP) • A radial basis function (RBF) • ... Les mer

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Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Different work fields with neural networks and predictive analytics techniques are listed below. • The multilayer perceptron (MLP) • A radial basis function (RBF) •
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Informal Introduction To Stochastic Calculus With Applications, An

av Ovidiu Calin ...

The goal of this book is to present Stochastic Calculus at an introductory level and not at its maximum mathematical detail. The author aims to capture as much as possible the spirit of elementary deterministic Calculus, at which students have been already exposed. This assumes a presentation that mimics similar properties of deterministic Calculus, which facilitates understanding of more ... Les mer

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The goal of this book is to present Stochastic Calculus at an introductory level and not at its maximum mathematical detail. The author aims to capture as much as possible the spirit of elementary deterministic Calculus, at which students have been already exposed. This assumes a presentation that mimics similar properties of deterministic Calculus, which facilitates understanding of more
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Inequalities In Analysis And Probability (Third Edition)

av Odile Pons ...

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops new analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales, to transformed Brownian motions and diffusions, to Markov and point processes, renewal, branching and shock processes.In this third edition, the ... Les mer

809,49 kr

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops new analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales, to transformed Brownian motions and diffusions, to Markov and point processes, renewal, branching and shock processes.In this third edition, the
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Perturbed Semi-Markov Type Processes II

Ergodic Theorems for Multi-Alternating Regenerative Processes

av Dmitrii Silvestrov ...

This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty ... Les mer

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This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty
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Real And Stochastic Analysis: Current Trends

av Malempati Madhusudana Rao ...

This book presents the current status and research trends in Stochastic Analysis. Several new and emerging research areas are described in detail, highlighting the present outlook in Stochastic Analysis and its impact on abstract analysis. The book focuses on treating problems in areas that serve as a launching pad for continual research. ... Les mer

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This book presents the current status and research trends in Stochastic Analysis. Several new and emerging research areas are described in detail, highlighting the present outlook in Stochastic Analysis and its impact on abstract analysis. The book focuses on treating problems in areas that serve as a launching pad for continual research.
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Path Coupling and Aggregate Path Coupling

av Yevgeniy Kovchegov, Peter T. Otto ...

Serie serien SpringerBriefs in Probability and Mathematical Statistics
This book describes and characterizes an extension to the classical path coupling method applied to statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, the aggregate path coupling method is used to prove rapid mixing of Glauber dynamics for a large class of statistical mechanical models, including models that exhibit discontinuous ... Les mer

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This book describes and characterizes an extension to the classical path coupling method applied to statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, the aggregate path coupling method is used to prove rapid mixing of Glauber dynamics for a large class of statistical mechanical models, including models that exhibit discontinuous
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Frontiers in Analysis and Probability

In the Spirit of the Strasbourg-Zürich Meetings

Redigert av Nalini Anantharaman, Ashkan Nikeghbali, Michael Th. Rassias ...

The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes ... Les mer

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The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes
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Fundamentals of Stochastic Signals, Systems and Estimation Theory

With Worked Examples

av Branko Kovačević, Željko Đurović, Zoran Banjac ...

Serie serien Engineering (R0)
Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or ... Les mer

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Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or
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Quantum Stochastics

av Mou-Hsiung Chang ...

Serie Bok 37 - Cambridge Series in Statistical and Probabilistic Mathematics
The classical probability theory initiated by Kolmogorov and its quantum counterpart, pioneered by von Neumann, were created at about the same time in the 1930s, but development of the quantum theory has trailed far behind. Although highly appealing, the quantum theory has a steep learning curve, requiring tools from both probability and analysis and a facility for combining the two viewpoints. ... Les mer

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The classical probability theory initiated by Kolmogorov and its quantum counterpart, pioneered by von Neumann, were created at about the same time in the 1930s, but development of the quantum theory has trailed far behind. Although highly appealing, the quantum theory has a steep learning curve, requiring tools from both probability and analysis and a facility for combining the two viewpoints.
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Non-homogeneous Random Walks

Lyapunov Function Methods for Near-Critical Stochastic Systems

av Mikhail Menshikov, Serguei Popov, Andrew Wade ...

Serie Bok 209 - Cambridge Tracts in Mathematics
Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data transmission. They (and the real systems they model) are often subject to phase transitions, behaving in one way when a parameter is below a certain critical value, then switching behaviour as soon as that critical value is reached. In a real system, ... Les mer

1 819,27 kr

Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data transmission. They (and the real systems they model) are often subject to phase transitions, behaving in one way when a parameter is below a certain critical value, then switching behaviour as soon as that critical value is reached. In a real system,
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Long-Range Dependence and Self-Similarity

av Vladas Pipiras, Murad S. Taqqu ...

Serie Bok 45 - Cambridge Series in Statistical and Probabilistic Mathematics
This modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on to cover more specialized, up-to-date topics central to current research. These topics concern, but are not limited to, physical models that give rise to long-range dependence and self-similarity; central and non-central limit theorems for long-range dependent ... Les mer

1 171,57 kr

This modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on to cover more specialized, up-to-date topics central to current research. These topics concern, but are not limited to, physical models that give rise to long-range dependence and self-similarity; central and non-central limit theorems for long-range dependent
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Stochastic Processes

Theory for Applications

av Robert G. Gallager ...

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of ... Les mer

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This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of
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The Theory of Probability

Explorations and Applications

av Santosh S. Venkatesh ...

From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic ... Les mer

1 209,67 kr

From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic
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Stochastic Models for Prices Dynamics in Energy and Commodity Markets

An Infinite-Dimensional Perspective

av Fred Espen Benth, Paul Krühner ...

Serie serien Mathematics and Statistics (R0)
This monograph presents a theory for random field models in time and space, viewed as stochastic processes with values in a Hilbert space, to model the stochastic dynamics of forward and futures prices in energy, power, and commodity markets.In this book, the well-known Heath–Jarrow–Morton approach from interest rate theory is adopted and extended into an infinite-dimensional framework, allowing ... Les mer

1 312,79 kr

This monograph presents a theory for random field models in time and space, viewed as stochastic processes with values in a Hilbert space, to model the stochastic dynamics of forward and futures prices in energy, power, and commodity markets.In this book, the well-known Heath–Jarrow–Morton approach from interest rate theory is adopted and extended into an infinite-dimensional framework, allowing
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Higher Education 4.0

The Digital Transformation of Classroom Lectures to Blended Learning

av Kevin Anthony Jones, Sharma Ravishankar ...

This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university, with a longstanding tradition of technology-enabled teaching and learning, and state-of-the-art infrastructure. Hence, both teachers and students were familiar with the idea of online courses. Despite this, the longitudinal experiment did not proceed as expected. Though few ... Les mer

1 137,19 kr

This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university, with a longstanding tradition of technology-enabled teaching and learning, and state-of-the-art infrastructure. Hence, both teachers and students were familiar with the idea of online courses. Despite this, the longitudinal experiment did not proceed as expected. Though few
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Free Boundary Problems in PDEs and Particle Systems

av Gioia Carinci, Anna De Masi, Errico Presutti, Cristian Giardina ...

Serie Bok 12 - SpringerBriefs in Mathematical Physics
In this volume a theory for models of transport in the presence of a free boundary is developed.Macroscopic laws of transport are described by PDE's.When the system is open, there are several mechanisms to couple the system with the external forces. Here a class of systems where the interaction with the exterior takes place in correspondence of a free boundary is considered. Both continuous and ... Les mer

437,39 kr

In this volume a theory for models of transport in the presence of a free boundary is developed.Macroscopic laws of transport are described by PDE's.When the system is open, there are several mechanisms to couple the system with the external forces. Here a class of systems where the interaction with the exterior takes place in correspondence of a free boundary is considered. Both continuous and
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Random Ordinary Differential Equations and Their Numerical Solution

av Xiaoying Han, Peter E. Kloeden ...

Serie Bok 85 - Probability Theory and Stochastic Modelling
This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems. In addition, it demonstrates how RODEs are being used in the biological sciences, where non ... Les mer

1 137,19 kr

This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems. In addition, it demonstrates how RODEs are being used in the biological sciences, where non
... Les mer

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Sannsynlighet e-bøker

I Learn the Numbers! I Can Tell Time! Counting and Telling Time for Kids - Baby & Toddler Time Books

Elements Of Stochastic Dynamics

Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management

Random Processes: First-passage And Escape

Multivariate Normal Distribution, The: Theory And Applications

MACHINE LEARNING. SUPERVISED LEARNING TECHNIQUES: REGRESSION. Examples with SAS and MATLAB

DESCRIPTIVE STATISTICS WITH R

PREDICTIVE ANALYTICS WITH NEURAL NETWORKS USING MATLAB

Informal Introduction To Stochastic Calculus With Applications, An

Inequalities In Analysis And Probability (Third Edition)

Perturbed Semi-Markov Type Processes II

Real And Stochastic Analysis: Current Trends

Path Coupling and Aggregate Path Coupling

Frontiers in Analysis and Probability

Fundamentals of Stochastic Signals, Systems and Estimation Theory

Quantum Stochastics

Non-homogeneous Random Walks

Long-Range Dependence and Self-Similarity

Stochastic Processes

The Theory of Probability

Stochastic Models for Prices Dynamics in Energy and Commodity Markets

Higher Education 4.0

Free Boundary Problems in PDEs and Particle Systems

Random Ordinary Differential Equations and Their Numerical Solution