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Progress in Industrial Mathematics at ECMI 2008

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Progress in Industrial Mathematics at ECMI 2008

Progress in Industrial Mathematics at ECMI 2008 by Alistair D. Fitt
English | PDF | 2010 | 1060 Pages | ISBN : 3642121098 | 31 MB

This volume is the Proceedings of the European Conference on Mathematics for Industry held in London in June 2008. The aim of the meeting was to reinforce the role of mathematics as an overarching resource for industry and business. Contributions cover a wide range of mathematical techniques and the applications include manufacturing and technology, finance and policy-making, networks, medicine, and sport.

Introduction to Robust and Quasi-Robust Statistical Methods

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Introduction to Robust and Quasi-Robust Statistical Methods

Introduction to Robust and Quasi-Robust Statistical Methods by William J. J. Rey
English | PDF | 1983 | 247 Pages | ISBN : 3540128662 | 16.9 MB

The term "robustness" does not lend itself to a clear-cut statistical definition. It seems to have been introduced by G. E. P. Box in 1953 to cover a rather vague concept described in the following way by Kendall and Buckland (1981). Their dictionary states:

The Statistical Theory of Shape

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The Statistical Theory of Shape

The Statistical Theory of Shape by Christopher G. Small
English | PDF | 1996 | 237 Pages | ISBN : 0387947299 | 24.6 MB

In general terms, the shape of an object, data set, or image can be de­ fined as the total of all information that is invariant under translations, rotations, and isotropic rescalings. Thus two objects can be said to have the same shape if they are similar in the sense of Euclidean geometry. For example, all equilateral triangles have the same shape, and so do all cubes. In applications, bodies rarely have exactly the same shape within measure­ ment error.

Applying and Interpreting Statistics: A Comprehensive Guide, Second Edition (Repost)

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Applying and Interpreting Statistics: A Comprehensive Guide, Second Edition (Repost)

Applying and Interpreting Statistics: A Comprehensive Guide, Second Edition By Glen McPherson
English | PDF | 2001 | 664 Pages | ISBN : 1441928790 | 60.60 MB

In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book.

Stochastic Numerics for Mathematical Physics

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Stochastic Numerics for Mathematical Physics

Stochastic Numerics for Mathematical Physics by Grigori N. Milstein
English | PDF | 2004 | 612 Pages | ISBN : 3540211101 | 44 MB

Stochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce solution of multi-dimensional problems for partial differential equations to integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise.

Introduction to Mathematical Systems Theory: Linear Systems, Identification and Control

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Introduction to Mathematical Systems Theory: Linear Systems, Identification and Control

Introduction to Mathematical Systems Theory: Linear Systems, Identification and Control by Christiaan Heij
English | PDF | 2007 | 169 Pages | ISBN : 3764375485 | 1.6 MB

This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation.

Stochastic Optimization

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Stochastic Optimization

Stochastic Optimization by Johannes Josef Schneider
English | PDF | 2006 | 550 Pages | ISBN : 3540345590 | 40.6 MB

The search for optimal solutions pervades our daily lives. From the scientific point of view, optimization procedures play an eminent role whenever exact solutions to a given problem are not at hand or a compromise has to be sought, e.g. to obtain a sufficiently accurate solution within a given amount of time. This book addresses stochastic optimization procedures in a broad manner, giving an overview of the most relevant optimization philosophies in the first part. The second part deals with benchmark problems in depth, by applying in sequence a selection of optimization procedures to them. While having primarily scientists and students from the physical and engineering sciences in mind, this book addresses the larger community of all those wishing to learn about stochastic optimization techniques and how to use them.

Uncertainty: The Soul of Modeling, Probability & Statistics

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Uncertainty: The Soul of Modeling, Probability & Statistics

Uncertainty: The Soul of Modeling, Probability & Statistics by William Briggs
English | PDF(True) | 2016 | 274 Pages | ISBN : 3319397559 | 3.2 MB

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance".

Sojourns in Probability Theory and Statistical Physics - I: Spin Glasses and Statistical Mechanics, A Festschrift for Charles M

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Sojourns in Probability Theory and Statistical Physics - I: Spin Glasses and Statistical Mechanics, A Festschrift for Charles M

Sojourns in Probability Theory and Statistical Physics - I: Spin Glasses and Statistical Mechanics, A Festschrift for Charles M by Vladas Sidoravicius
English | EPUB | 2019 | 338 Pages | ISBN : 9811502935 | 36.1 MB

Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set is a celebration of the far-reaching scientific impact of his work. It consists of articles by Chuck’s collaborators and colleagues across a number of the fields to which he has made contributions of fundamental significance. This publication was conceived during a conference in 2016 at NYU Shanghai that coincided with Chuck`s 70th birthday.

Sojourns in Probability Theory and Statistical Physics - III (Repost)

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Sojourns in Probability Theory and Statistical Physics - III (Repost)

Sojourns in Probability Theory and Statistical Physics - III: Interacting Particle Systems and Random Walks, A Festschrift for Charles M. Newman by Vladas Sidoravicius
English | EPUB | 2019 | 327 Pages | ISBN : 981150301X | 29.2 MB

Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set is a celebration of the far-reaching scientific impact of his work. It consists of articles by Chuck’s collaborators and colleagues across a number of the fields to which he has made contributions of fundamental significance. This publication was conceived during a conference in 2016 at NYU Shanghai that coincided with Chuck`s 70th birthday.

Séminaire de Probabilités LI

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Séminaire de Probabilités LI

Séminaire de Probabilités LI by Catherine Donati-Martin
English | EPUB | 2022 | 408 Pages | ISBN : 3030964086 | 23.8 MB

This volume presents a selection of texts that reflects the current research streams in probability, with an interest toward topics such as filtrations, Markov processes and Markov chains as well as large deviations, Stochastic Partial Differential equations, rough paths theory, quantum probabilities and percolation on graphs.

Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory

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Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory

Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory by Charles Castaing
English | PDF | 2004 | 327 Pages | ISBN : 1402019637 | 2.5 MB

Young measures are presented in a general setting which includes finite and for the first time infinite dimensional spaces: the fields of applications of Young measures (Control Theory, Calculus of Variations, Probability Theory…) are often concerned with problems in infinite dimensional settings.

Markov Decision Processes with Their Applications

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Markov Decision Processes with Their Applications

Markov Decision Processes with Their Applications by Qiying Hu
English | PDF | 2008 | 305 Pages | ISBN : 0387369503 | 3.6 MB

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters.

Probabilità: Un'introduzione attraverso modelli e applicazioni (Repost)

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Probabilità: Un'introduzione attraverso modelli e applicazioni (Repost)

Probabilità: Un'introduzione attraverso modelli e applicazioni by Francesco Caravenna
Italiano | PDF | 2013 | 404 Pages | ISBN : 884702594X | 2.4 MB

Il presente volume intende fornire un’introduzione alla probabilità e alle sue applicazioni, senza fare ricorso alla teoria della misura, per studenti dei corsi di laurea scientifici (in particolar modo di matematica, fisica e ingegneria).

Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks (Repost)

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Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks (Repost)

Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks by Hannu Oja
English | PDF | 2010 | 238 Pages | ISBN : 1441904670 | 2 MB

This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented.