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An Introduction to the Theory of Point Processes / Volume I: Elementary Theory and Methods, Daley D.J., Vere-Jones D.



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Автор: Daley D.J., Vere-Jones D.
Название:  An Introduction to the Theory of Point Processes / Volume I: Elementary Theory and Methods
Издательство: Springer
Классификация:
Вероятность и статистика
Прикладная математика

ISBN: 0387955410
ISBN-13(EAN): 9780387955414
ISBN: 0-387-95541-0
ISBN-13(EAN): 978-0-387-95541-4
Обложка/Формат: Hardback
Страницы: 500
Вес: 0.892 кг.
Дата издания: 2005
Серия: Probability and its Applications
Язык: English
Издание: 2nd ed. 2003. corr.
Иллюстрации: Xxi, 471 p.
Размер: 166 x 242 x 35
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Volume i: elementary theory and methods
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and stereology, to name but a few. The authors have made a major reshaping of their classic work published in 1988. It will be a standard reference for researchs and graduate students in pure and applied probability.
Дополнительное описание: Формат: 235x155
Круг читателей: Graduate students, researchers
Ключевые слова:
Язык: eng
Издание: 2nd ed. 2003. Corr. 2nd p
Оглавление: Early History * Basic Properties of the Poisson Process * Simple Results for Stationary Point Processes on the Line * Renewal Processes * Finite Point Processes * Models Constructed via Conditioning: Cox, Cluster,and Marked Point Processes * Conditional Intensities and Likelihoods * Second Order Properties of Stationary Point Processes





Introduction to Time Series Using Stata

Автор: Becketti
Название: Introduction to Time Series Using Stata
ISBN: 1597181323 ISBN-13(EAN): 9781597181327
Издательство: Taylor&Francis
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Цена: 8546 р.
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Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 7836 р.
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Описание: Provides an introduction to probability theory and its applications.

Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)

Автор: Krylov
Название: Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)
ISBN: 0821829858 ISBN-13(EAN): 9780821829851
Издательство: Eurospan
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Цена: 4499 р.
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Описание: Discusses the theory of stochastic processes. This book presents basics of discrete time martingales. It includes such topics as Wiener process, stationary processes, infinitely divisible processes, and Ito stochastic equations.

An Introduction to the Theory of Point Processes, Volume II

Автор: Daley D.J., Vere-Jones David
Название: An Introduction to the Theory of Point Processes, Volume II
ISBN: 0387213376 ISBN-13(EAN): 9780387213378
Издательство: Springer
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Цена: 16719 р.
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Описание: Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present their An Introduction to the Theory of Point Processes in two volumes with subtitles Volume I: Elementary Theory and Methods and Volume II: General Theory and Structure.Volume I contains the introductory chapters from the first edition together with an account of basic models, second order theory, and an informal account of prediction, with the aim of making the material accessible to readers primarily interested in models and applications. It also has three appendices that review the mathematical background needed mainly in Volume II.Volume II sets out the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 8430 р.
Наличие на складе: Невозможна поставка.

Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Elementary introduction to statistical learning theory

Автор: Kulkarni, Sanjeev Harman, Gilbert
Название: Elementary introduction to statistical learning theory
ISBN: 0470641835 ISBN-13(EAN): 9780470641835
Издательство: Wiley
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Цена: 11146 р.
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Описание: * Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
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Цена: 9585 р.
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Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.

Introduction to Probability Theory and Stochastic Processes

Автор: Chiasson John
Название: Introduction to Probability Theory and Stochastic Processes
ISBN: 111838279X ISBN-13(EAN): 9781118382790
Издательство: Wiley
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Цена: 12128 р.
Наличие на складе: Нет в наличии.

Описание: This comprehensive textbook provides an introduction to statistical methods for graduate engineers offering thorough coverage of important probability-related topics to aid in product and system design, reliability engineering, quality control, and more.

Qualitative Methods in Inverse Scattering Theory / An Introduction

Автор: Cakoni Fioralba, Colton David
Название: Qualitative Methods in Inverse Scattering Theory / An Introduction
ISBN: 3540288449 ISBN-13(EAN): 9783540288442
Издательство: Springer
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Цена: 8355 р.
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Описание: Inverse scattering theory has been a particularly active and successful field in applied mathematics and engineering for the past twenty years. The increasing demands of imaging and target identification require new powerful and flexible techniques besides the existing weak scattering approximation or nonlinear optimization methods. One class of such methods comes under the general description of qualitative methods in inverse scattering theory. This textbook is an easily-accessible "class-tested" introduction to the field. It is accessible also to readers who are not professional mathematicians, thus making these new mathematical ideas in inverse scattering theory available to the wider scientific and engineering community.

An Introduction to Statistical Inference and Its Applications with R

Автор: Trosset
Название: An Introduction to Statistical Inference and Its Applications with R
ISBN: 1584889470 ISBN-13(EAN): 9781584889472
Издательство: Taylor&Francis
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Цена: 8199 р.
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Описание: With amusing anecdotes and trivia, this text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It introduces basic concepts of inference through a careful study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. The text also presents many applications, supporting data sets, and end-of-chapter exercises. The R code and data sets are available for download online and a solutions manual is available for qualifying instructors.

Introduction To The Theory of Statistics

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
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Цена: 5774 р.
Наличие на складе: Невозможна поставка.

Описание: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year`s course in calculus with no prior knowledge of statistics or probability. Third revised edition.

Molecular Symmetry and Group Theory : A Programmed Introduction to Chemical Applications, 2nd Edition

Автор: Alan Vincent
Название: Molecular Symmetry and Group Theory : A Programmed Introduction to Chemical Applications, 2nd Edition
ISBN: 0471489395 ISBN-13(EAN): 9780471489399
Издательство: Wiley
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Цена: 3436 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This substantially revised and expanded new edition of the bestselling textbook, addresses the difficulties that can arise with the mathematics that underpins the study of symmetry, and acknowledges that group theory can be a complex concept for students to grasp. Written in a clear, concise manner, the author introduces a series of programmes that help students learn at their own pace and enable to them understand the subject fully. Readers are taken through a series of carefully constructed exercises, designed to simplify the mathematics and give them a full understanding of how this relates to the chemistry. This second edition contains a new chapter on the projection operator method. This is used to calculate the form of the normal modes of vibration of a molecule and the normalised wave functions of hybrid orbitals or molecular orbitals. The features of this book include:


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