Author: Edward G. Carlstein
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
Book Description
Nonparametric Methods in Change Point Problems
Author: E. Brodsky
Publisher: Springer Science & Business Media
ISBN: 9780792321224
Category : Mathematics
Languages : en
Pages : 228
Book Description
The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
Publisher: Springer Science & Business Media
ISBN: 9780792321224
Category : Mathematics
Languages : en
Pages : 228
Book Description
The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
Change-point Problems
Author: Edward G. Carlstein
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
Book Description
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
Book Description
Nonparametric Methods in Change Point Problems
Author: E. Brodsky
Publisher: Springer Science & Business Media
ISBN: 9401581630
Category : Mathematics
Languages : en
Pages : 221
Book Description
The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
Publisher: Springer Science & Business Media
ISBN: 9401581630
Category : Mathematics
Languages : en
Pages : 221
Book Description
The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
Parametric Statistical Change Point Analysis
Author: Jie Chen
Publisher: Springer Science & Business Media
ISBN: 1475731310
Category : Mathematics
Languages : en
Pages : 190
Book Description
Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models such as linear regres sion and autoregression. The methods used are mainly likelihood ratio, nonparametric, and Bayesian. Few authors also considered the change point problem in other model settings such as the gamma and exponential.
Publisher: Springer Science & Business Media
ISBN: 1475731310
Category : Mathematics
Languages : en
Pages : 190
Book Description
Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models such as linear regres sion and autoregression. The methods used are mainly likelihood ratio, nonparametric, and Bayesian. Few authors also considered the change point problem in other model settings such as the gamma and exponential.
Change-Point Analysis in Nonstationary Stochastic Models
Author: Boris Brodsky
Publisher: CRC Press
ISBN: 1498755976
Category : Mathematics
Languages : en
Pages : 366
Book Description
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them.
Publisher: CRC Press
ISBN: 1498755976
Category : Mathematics
Languages : en
Pages : 366
Book Description
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them.
Leading Change
Author: John P. Kotter
Publisher: Harvard Business Press
ISBN: 1422186431
Category : Business & Economics
Languages : en
Pages : 210
Book Description
From the ill-fated dot-com bubble to unprecedented merger and acquisition activity to scandal, greed, and, ultimately, recession -- we've learned that widespread and difficult change is no longer the exception. By outlining the process organizations have used to achieve transformational goals and by identifying where and how even top performers derail during the change process, Kotter provides a practical resource for leaders and managers charged with making change initiatives work.
Publisher: Harvard Business Press
ISBN: 1422186431
Category : Business & Economics
Languages : en
Pages : 210
Book Description
From the ill-fated dot-com bubble to unprecedented merger and acquisition activity to scandal, greed, and, ultimately, recession -- we've learned that widespread and difficult change is no longer the exception. By outlining the process organizations have used to achieve transformational goals and by identifying where and how even top performers derail during the change process, Kotter provides a practical resource for leaders and managers charged with making change initiatives work.
Iterative Methods for Fixed Point Problems in Hilbert Spaces
Author: Andrzej Cegielski
Publisher: Springer
ISBN: 3642309011
Category : Mathematics
Languages : en
Pages : 312
Book Description
Iterative methods for finding fixed points of non-expansive operators in Hilbert spaces have been described in many publications. In this monograph we try to present the methods in a consolidated way. We introduce several classes of operators, examine their properties, define iterative methods generated by operators from these classes and present general convergence theorems. On this basis we discuss the conditions under which particular methods converge. A large part of the results presented in this monograph can be found in various forms in the literature (although several results presented here are new). We have tried, however, to show that the convergence of a large class of iteration methods follows from general properties of some classes of operators and from some general convergence theorems.
Publisher: Springer
ISBN: 3642309011
Category : Mathematics
Languages : en
Pages : 312
Book Description
Iterative methods for finding fixed points of non-expansive operators in Hilbert spaces have been described in many publications. In this monograph we try to present the methods in a consolidated way. We introduce several classes of operators, examine their properties, define iterative methods generated by operators from these classes and present general convergence theorems. On this basis we discuss the conditions under which particular methods converge. A large part of the results presented in this monograph can be found in various forms in the literature (although several results presented here are new). We have tried, however, to show that the convergence of a large class of iteration methods follows from general properties of some classes of operators and from some general convergence theorems.
Fixed-Point Algorithms for Inverse Problems in Science and Engineering
Author: Heinz H. Bauschke
Publisher: Springer Science & Business Media
ISBN: 1441995692
Category : Mathematics
Languages : en
Pages : 409
Book Description
"Fixed-Point Algorithms for Inverse Problems in Science and Engineering" presents some of the most recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. The material presented provides a survey of the state-of-the-art theory and practice in fixed-point algorithms, identifying emerging problems driven by applications, and discussing new approaches for solving these problems. This book incorporates diverse perspectives from broad-ranging areas of research including, variational analysis, numerical linear algebra, biotechnology, materials science, computational solid-state physics, and chemistry. Topics presented include: Theory of Fixed-point algorithms: convex analysis, convex optimization, subdifferential calculus, nonsmooth analysis, proximal point methods, projection methods, resolvent and related fixed-point theoretic methods, and monotone operator theory. Numerical analysis of fixed-point algorithms: choice of step lengths, of weights, of blocks for block-iterative and parallel methods, and of relaxation parameters; regularization of ill-posed problems; numerical comparison of various methods. Areas of Applications: engineering (image and signal reconstruction and decompression problems), computer tomography and radiation treatment planning (convex feasibility problems), astronomy (adaptive optics), crystallography (molecular structure reconstruction), computational chemistry (molecular structure simulation) and other areas. Because of the variety of applications presented, this book can easily serve as a basis for new and innovated research and collaboration.
Publisher: Springer Science & Business Media
ISBN: 1441995692
Category : Mathematics
Languages : en
Pages : 409
Book Description
"Fixed-Point Algorithms for Inverse Problems in Science and Engineering" presents some of the most recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. The material presented provides a survey of the state-of-the-art theory and practice in fixed-point algorithms, identifying emerging problems driven by applications, and discussing new approaches for solving these problems. This book incorporates diverse perspectives from broad-ranging areas of research including, variational analysis, numerical linear algebra, biotechnology, materials science, computational solid-state physics, and chemistry. Topics presented include: Theory of Fixed-point algorithms: convex analysis, convex optimization, subdifferential calculus, nonsmooth analysis, proximal point methods, projection methods, resolvent and related fixed-point theoretic methods, and monotone operator theory. Numerical analysis of fixed-point algorithms: choice of step lengths, of weights, of blocks for block-iterative and parallel methods, and of relaxation parameters; regularization of ill-posed problems; numerical comparison of various methods. Areas of Applications: engineering (image and signal reconstruction and decompression problems), computer tomography and radiation treatment planning (convex feasibility problems), astronomy (adaptive optics), crystallography (molecular structure reconstruction), computational chemistry (molecular structure simulation) and other areas. Because of the variety of applications presented, this book can easily serve as a basis for new and innovated research and collaboration.
Snow Watch '92, Detection Strategies for Snow and Ice
Author: Robert G. Crane
Publisher:
ISBN:
Category : Climatology
Languages : en
Pages : 314
Book Description
Publisher:
ISBN:
Category : Climatology
Languages : en
Pages : 314
Book Description
Cirque Du Freak: A Living Nightmare
Author: Darren Shan
Publisher: Little, Brown Books for Young Readers
ISBN: 031604184X
Category : Young Adult Fiction
Languages : en
Pages : 130
Book Description
From the Master of Horror comes the first gripping book in the twelve book New York Times bestselling Saga of Darren Shan. Start the tale from the beginning in the book that inspired the feature film The Vampire's Assistant and petrified devoted fans worldwide. A young boy named Darren Shan and his best friend, Steve, get tickets to the Cirque Du Freak, a wonderfully gothic freak show featuring weird, frightening half human/half animals who interact terrifyingly with the audience. In the midst of the excitement, true terror raises its head when Steve recognizes that one of the performers-- Mr. Crepsley-- is a vampire! Stever remains after the show finishes to confront the vampire-- but his motives are surprising! In the shadows of a crumbling theater, a horrified Darren eavesdrops on his friend and the vampire, and is witness to a monstrous, disturbing plea. As if by destiny, Darren is pulled to Mr. Crepsley and what follows is his horrifying descent into the dark and bloody world of vampires. This is the beginning of Darren's story.
Publisher: Little, Brown Books for Young Readers
ISBN: 031604184X
Category : Young Adult Fiction
Languages : en
Pages : 130
Book Description
From the Master of Horror comes the first gripping book in the twelve book New York Times bestselling Saga of Darren Shan. Start the tale from the beginning in the book that inspired the feature film The Vampire's Assistant and petrified devoted fans worldwide. A young boy named Darren Shan and his best friend, Steve, get tickets to the Cirque Du Freak, a wonderfully gothic freak show featuring weird, frightening half human/half animals who interact terrifyingly with the audience. In the midst of the excitement, true terror raises its head when Steve recognizes that one of the performers-- Mr. Crepsley-- is a vampire! Stever remains after the show finishes to confront the vampire-- but his motives are surprising! In the shadows of a crumbling theater, a horrified Darren eavesdrops on his friend and the vampire, and is witness to a monstrous, disturbing plea. As if by destiny, Darren is pulled to Mr. Crepsley and what follows is his horrifying descent into the dark and bloody world of vampires. This is the beginning of Darren's story.