On Zeros And Local Infima Of Brownian Motion,
2011
Louisiana State University
On Zeros And Local Infima Of Brownian Motion, Michel Weber
Communications on Stochastic Analysis
No abstract provided.
Packing Dimension Results For Anisotropic Gaussian Random Fields,
2011
Louisiana State University
Packing Dimension Results For Anisotropic Gaussian Random Fields, Anne Estrade, Dongsheng Wu, Yimin Xiao
Communications on Stochastic Analysis
No abstract provided.
Permanental Processes,
2011
Louisiana State University
Permanental Processes, Hana Kogan, Michael B Marcus, Jay Rosen
Communications on Stochastic Analysis
No abstract provided.
Efficient Estimation Of Spectral Functionals For Gaussian Stationary Models,
2011
Louisiana State University
Efficient Estimation Of Spectral Functionals For Gaussian Stationary Models, Mamikon S Ginovyan
Communications on Stochastic Analysis
No abstract provided.
On Fractional Ornstein-Uhlenbeck Processes,
2011
Louisiana State University
On Fractional Ornstein-Uhlenbeck Processes, Terhi Kaarakka, Paavo Salminen
Communications on Stochastic Analysis
No abstract provided.
Itô'S Formula For A Sub-Fractional Brownian Motion,
2011
Louisiana State University
Itô'S Formula For A Sub-Fractional Brownian Motion, Litan Yan, Guangjun Shen, Kun He
Communications on Stochastic Analysis
No abstract provided.
Self-Similarity Parameter Estimation And Reproduction Property For Non-Gaussian Hermite Processes,
2011
Louisiana State University
Self-Similarity Parameter Estimation And Reproduction Property For Non-Gaussian Hermite Processes, Alexandra Chronopoulou, Ciprian A Tudor, Frederi G Viens
Communications on Stochastic Analysis
No abstract provided.
The Long-Range Dependence Of Linear Log-Fractional Stable Motion,
2011
Louisiana State University
The Long-Range Dependence Of Linear Log-Fractional Stable Motion, Joshua B Levy, Murad S Taqqu
Communications on Stochastic Analysis
No abstract provided.
A Review Of Some Methods To Estimate The Tail Of The Distribution Of The Maximum Of A Gaussian Field,
2011
Louisiana State University
A Review Of Some Methods To Estimate The Tail Of The Distribution Of The Maximum Of A Gaussian Field, Mario Wschebor
Communications on Stochastic Analysis
No abstract provided.
A Model Of Continuous Time Polymer On The Lattice,
2011
Louisiana State University
A Model Of Continuous Time Polymer On The Lattice, David Márquez-Carreras, Carles Rovira, Samy Tindel
Communications on Stochastic Analysis
No abstract provided.
On Local Times Of Anisotropic Gaussian Random Fields,
2011
Louisiana State University
On Local Times Of Anisotropic Gaussian Random Fields, Dongsheng Wu, Yimin Xiao
Communications on Stochastic Analysis
No abstract provided.
Undamped Harmonic Oscillator Driven By Additive Gaussian White Noise: A Statistical Analysis,
2011
Louisiana State University
Undamped Harmonic Oscillator Driven By Additive Gaussian White Noise: A Statistical Analysis, N Lin, S V Lototsky
Communications on Stochastic Analysis
No abstract provided.
Preface,
2011
Louisiana State University
Two Triangles With The Same Orthocenter And A Vectorial Proof Of Stevanovic's Theorem,
2011
University of New Mexico
Two Triangles With The Same Orthocenter And A Vectorial Proof Of Stevanovic's Theorem, Florentin Smarandache, Ion Patrascu
Branch Mathematics and Statistics Faculty and Staff Publications
In this article we'll emphasize on two triangles...
Theory Of "Art" : Qualitative In Nature And Quaintintative In Practice,
2011
Marshall University
Theory Of "Art" : Qualitative In Nature And Quaintintative In Practice, Richard Merritt
Theses, Dissertations and Capstones
The primary focus of this work is to discuss the mechanical action of the Marshall Differential Analyzer ("ART") in a mathematical context. Differential Analyzers are primarily used to calculate the solutions to Differential Equations. A full account of the uses of Marshall's Differential Analyzer is given. Furthermore, a pure mathematical justification of how the machine integrates (mechanical integration) is provided via an application of the Riemann Integral. Many simple example problems are detailed ultimately leading up to the calculation of nonlinear problems, more specifically, a nonlinear oscillator.
Spatial Isomorphisms Of Algebras Of Truncated Toeplitz Operators,
2011
Pomona College
Spatial Isomorphisms Of Algebras Of Truncated Toeplitz Operators, Stephan Ramon Garcia, William T. Ross, Warren R. Wogen
Pomona Faculty Publications and Research
We examine when two maximal abelian algebras in the truncated Toeplitz operators are spatially isomorphic. This builds upon recent work of N. Sedlock, who obtained a complete description of the maximal algebras of truncated Toeplitz operators.
Statistical Properties Of A Convoluted Beta-Weibull Distribution,
2011
Marshall University
Statistical Properties Of A Convoluted Beta-Weibull Distribution, Jianan Sun
Theses, Dissertations and Capstones
A new class of distributions recently developed involves the logit of the beta distribution. Among this class of distributions are the beta-normal (Eugene et.al. (2002)); beta-Gumbel (Nadarajah and Kotz (2004)); beta-exponential (Nadarajah and Kotz (2006)); beta-Weibull (Famoye et al. (2005)); beta-Rayleigh (Akinsete and Lowe (2008)); beta-Laplace (Kozubowski and Nadarajah (2008)); and beta-Pareto (Akinsete et al. (2008)), among a few others. Many useful statistical properties arising from these distributions and their applications to real life data have been discussed in the literature. One approach by which a new statistical distribution is generated is by the transformation of random variables having known …
2011-2012 Unlv Mcnair Journal,
2011
University of Nevada, Las Vegas
2011-2012 Unlv Mcnair Journal, Cyndy Anang, Sajar Camara, Pamela Cornejo, Carla Antonieta Farcello, Ilse Anahi Garcia, Natiera Magnuson, William L. Mccurdy, Lorena Munoz, Maxym V. Myroshnychenko, Ricardo Rios, Theodore Waldeck, Barbara Wallen, Ana Zuniga, Brenda M. Aguilar, Tiffany Alexandra Alvarez, Daniel N. Erosa, Paige C. Espinosa, Carla Antonieta Farcello, Julienne Jochel Paraiso, Nathaniel Derek Phillipps, Carmen Vallin, Jacent N. Wamala, Ernesto Zamora-Ramos
McNair Journal
Journal articles based on research conducted by undergraduate students in the McNair Scholars Program
Table of Contents
Biography of Dr. Ronald E. McNair
Statements:
Dr. Neal J. Smatresk, UNLV President
Dr. Juanita P. Fain, Vice President of Student Affairs
Dr. William W. Sullivan, Associate Vice President for Retention and Outreach
Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach
McNair Scholars Institute Staff
Algebraic Structures Using Super Interval Matrices,
2011
University of New Mexico
Algebraic Structures Using Super Interval Matrices, Florentin Smarandache, W.B. Vasantha Kandasamy
Branch Mathematics and Statistics Faculty and Staff Publications
The advantage of using super interval matrices is that one can build only one vector space using m × n interval matrices, but in case of super interval matrices we can have several such spaces depending on the partition on the interval matrix.
This book has seven chapters. Chapter one is introductory in nature, just introducing the super interval matrices or interval super matrices. In chapter two essential operations on super interval matrices are defined. Further in this chapter algebraic structures are defined on these super interval matrices using these operation. Using these super interval matrices semirings and semivector spaces …
Studies In Sampling Techniques And Time Series Analysis,
2011
University of New Mexico
Studies In Sampling Techniques And Time Series Analysis, Florentin Smarandache, Rajesh Singh
Branch Mathematics and Statistics Faculty and Staff Publications
This book has been designed for students and researchers who are working in the field of time series analysis and estimation in finite population. There are papers by Rajesh Singh, Florentin Smarandache, Shweta Maurya, Ashish K. Singh, Manoj Kr. Chaudhary, V. K. Singh, Mukesh Kumar and Sachin Malik. First chapter deals with the problem of time series analysis and the rest of four chapters deal with the problems of estimation in finite population. The book is divided in five chapters as follows: Chapter 1. Water pollution is a major global problem. In this chapter, time series analysis is carried out …
