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Asymptotic Methods in Probability and Statistics with Applications

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Cover of 'Asymptotic Methods in Probability and Statistics with Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Positive Linnik and Discrete Linnik Distributions
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    Chapter 2 On Finite-Dimensional Archimedean Copulas
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    Chapter 3 Characterization and Stability Problems for Finite Quadratic Forms
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    Chapter 4 A Characterization of Gaussian Distributions by Signs of Even Cumulants
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    Chapter 5 On a Class of Pseudo-Isotropic Distributions
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    Chapter 6 Time Reversal of Diffusion Processes in Hilbert Spaces and Manifolds
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    Chapter 7 Localization of Majorizing Measures
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    Chapter 8 Multidimensional Hungarian Construction for Vectors With Almost Gaussian Smooth Distributions
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    Chapter 9 On the Existence of Weak Solutions for Stochastic Differential Equations With Driving L 2 -Valued Measures
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    Chapter 10 Tightness of Stochastic Families Arising From Randomization Procedures
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    Chapter 11 Long-Time Behavior of Multi-Particle Markovian Models
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    Chapter 12 Applications of Infinite-Dimensional Gaussian Integrals
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    Chapter 13 On Maximum of Gaussian Non-Centered Fields Indexed on Smooth Manifolds
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    Chapter 14 Typical Distributions: Infinite-Dimensional Approaches
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    Chapter 15 A Local Limit Theorem for Stationary Processes in the Domain of Attraction of a Normal Distribution
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    Chapter 16 On the Maximal Excursion Over Increasing Runs
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    Chapter 17 Almost Sure Behaviour of Partial Maxima Sequences of Some m -Dependent Stationary Sequences
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    Chapter 18 On a Strong Limit Theorem for Sums of Independent Random Variables
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    Chapter 19 Development of Linnik’s Work in His Investigation of the Probabilities of Large Deviation
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    Chapter 20 Lower Bounds on Large Deviation Probabilities for Sums of Independent Random Variables
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    Chapter 21 Characterization of Geometric Distribution Through Weak Records
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    Chapter 22 Asymptotic Distributions of Statistics Based on Order Statistics and Record Values and Invariant Confidence Intervals
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    Chapter 23 Record Values in Archimedean Copula Processes
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    Chapter 24 Functional CLT and LIL for Induced Order Statistics
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    Chapter 25 Notes on the KMT Brownian Bridge Approximation to the Uniform Empirical Process
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    Chapter 26 Inter-Record Times in Poisson Paced F α Models
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    Chapter 27 Goodness-of-Fit Tests for the Generalized Additive Risk Models
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    Chapter 28 The Combination of the Sign and Wilcoxon Tests for Symmetry and Their Pitman Efficiency
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    Chapter 29 Exponential Approximation of Statistical Experiments
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    Chapter 30 The Asymptotic Distribution of a Sequential Estimator for the Parameter in an AR(1) Model With Stable Errors
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    Chapter 31 Estimation Based on the Empirical Characteristic Function
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    Chapter 32 Asymptotic Behavior of Approximate Entropy
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    Chapter 33 Threshold Phenomena in Random Walks
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    Chapter 34 Identifying a Finite Graph by Its Random Walk
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    Chapter 35 The Comparison of the Edgeworth and Bergström Expansions
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    Chapter 36 Recent Progress in Probabilistic Number Theory
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    Chapter 37 On Mean Value of Profit for Option Holder: Cases of a Non-Classical and the Classical Market Models
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    Chapter 38 On the Probability Models to Control the Investor Portfolio
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Title
Asymptotic Methods in Probability and Statistics with Applications
Published by
Birkhäuser Boston, December 2012
DOI 10.1007/978-1-4612-0209-7
ISBNs
978-1-4612-6663-1, 978-1-4612-0209-7
Editors

Balakrishnan, N., Ibragimov, I. A., Nevzorov, V. B.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Mathematics 1 25%
Economics, Econometrics and Finance 1 25%
Physics and Astronomy 1 25%
Engineering 1 25%