1,550 research outputs found
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring
In this article, we propose two goodness-of-fit test statistics for the Burr Type X
distribution when the available data are subject to progressively Type-II censoring.
The proposed test statistics are based on the sample correlation coefficient between
the Kaplan-Meier estimator of the survival function and the lifetime data and also
based on the correlation between the Nelson-Aalen estimator of the cumulative hazard
function and the lifetime data. The new tests exhibit good performance in terms of
power in compare to the EDF-based test statistics of Pakyari and Balakrishnan (IEEE
Trans Reliab 61:238–242, 2012). The maximum likelihood estimator of the unknown
Burr Type X model is also studied and an approximate estimator is given. Finally, two
real datasets are analyzed for illustrative purposes
Reliability analysis of the Stress-Strength model from truncated Pareto distribution based on progressive Type-II censored samples.
In this project, we studied the stress strength reliability (SSR) models. The stress-strength model has many applications in engineering problems, for example the strength of a building being subjected to earthquake, the strength of a rocket motor being greater than its working pressure, and the strength of a bridge. We estimated the reliability parameter using maximum likelihood estimation method in three cases (arbitrary case, common truncated case, and common resilience parameter case). We computed the maximum likelihood estimator (MLE) of the reliability parameter R and studied the properties of the estimator of the parameter R using a great amount of simulation studies and illustrate our method through some real data examples. Moreover, we compute the generalized confidence intervals passed on pivotal quantities. We computed the bootstrap confidence intervals. We found that, the confidence interval is wider in the arbitrary parameter case, and that there is no large difference between the estimators of reliability parameter using different methods
COMPETING RISK MODELS IN PRESENCE OF PROGRESSIVELY TYPE-II CENSORED DATA FOR DAGUM DISTRIBUTION
In the survival time analysis, there could be more than one cause of failure for an individual or an item. Usually, researchers are interested in survival times under a certain cause of failure, considering the rest of the causes as "other". Moreover, censoring is unavoidable in survival analysis, due to the time and money limitations where researchers are unable to get comprehensive information for the entire units in the experiment. "Progressive Type-II censoring" is considered in this thesis of the problem of competing risks under the Dagum or "Burr Type-III" distribution. "Maximum likelihood" estimation is applied to estimate the unknown shape parameters under the general case as well as the special case of a common shape parameter. Moreover, the observed "Fisher information matrix" is found to get the approximate CI for the unknown parameters. The bootstrap CI is also studied using the resampling method. Furthermore, adequacy of the proposed methods are assessed using "Monte Carlo simulation" followed by an analysis of a real dataset
Exponential model for breast cancer partly interval censored data via multiple imputation
The estimation problem for interval-censored data has been investigated by several
authors. The application of conventional methods to interval censored data that has been
considered by Lindsey and Ryan (1998) showed misleading results when they tended to
underestimate the standard errors of the estimated parameters.
In this thesis, we apply the likelihoods in the exponential model in order to estimate
the parameters and function of survival when multiple imputation and left imputation
methods are used for partly interval censored data. We pay particular attention to the
performance of our model. In particular, we present the Likelihood Ratio Test (LRT) with
their p-value.
We undertake a simulation study with different percentage of exact observations (0%, 25%,
50%, and 75%) in order to quantify and analyze the relative performances of maximum
likelihood estimation for exponential model. The numerical evidence suggests that the
estimates from multiple imputation are more accurate. We apply the proposed method to a
real breast cancer data
Accelerated failure time for Weibull distribution based partly interval censored data
In this project, the performance of maximum likelihood estimators of the
parameters of Accelerated Failure Time (AFT) regression model based on Weibull
distribution with simple imputations methods under Partly-Interval Censored (PIC)
data is studied and compared with semiparametric Cox model. From a real data set, the
results indicate that the AFT with Weibull distribution is comparable with Cox model
under PIC breast cancer data. This result suggests that the parameters of the model are
stable and the treatments are significant for breast cancer patients.
Hence, maximum likelihood estimation is an appropriate method for estimating
the parameters of our Weibull AFT based on simple imputation method under PIC data.
In the simulation study, using the AIC and LRT with their p-values, the results show
that our model is fit well and flexible under PIC data especially for exact observation.
This finding has led us to deduce the fact that the AFT with Weibull distribution can be
useful for modeling PIC dat
The Wrath of God: Reza Aslan on Faith, Islam and the Media
Apart from being an exceptionally intelligent writer, religious scholar Reza Aslan is quickly gaining a reputation for being one of the most patient men on television.More than once, he has painstakingly explained to TV hosts that their less-than-sophisticated stands on Islam may be founded on flimsy and dangerous assumptions. He gained international recognition for his Fox News interview that went viral, and more recently, Aslan’s nuanced response to Bill Maher’s rant.Aslan returned to Vancouver to unpack the arguments around religion and violence. Touching on a range of topics from identity to ISIS, Aslan argued that no religion exists in a vacuum. Every faith is rooted in the soil in which it is planted.“Using two or three examples to justify a generalization. That’s actually the definition of bigotry.” – Reza Aslan (response to Bill Maher)Reza Aslan, an internationally acclaimed writer and scholar of religions, is author of the #1 New York Times Bestseller Zealot: The Life and Times of Jesus of Nazareth. He is the founder of AslanMedia, a social media network for news and entertainment about the Middle East and the world, and co-founder and Chief Creative Officer of BoomGen Studios, the premier entertainment brand for creative content from and about the Greater Middle East. Aslan’s first book is the International Bestseller, No god but God: The Origins, Evolution, and Future of Islam, which has been translated into seventeen languages, and named one of the 100 most important books of the last decade. He is also the author of How to Win a Cosmic War, as well as editor of two volumes: Tablet and Pen: Literary Landscapes from the Modern Middle East, and Muslims and Jews in America: Commonalities, Contentions, and Complexities. Born in Iran, he lives in Los Angeles with his wife (author and entrepreneur Jessica Jackley). When Aslan is not working on his own writing, he serves as a writing consultant in television on the upcoming show, DIG, with Tim Kring and Gideon Raff
Reza Aslan: Islam & ISIS
THE DEAN\u27S FELLOWS OF THE COLLEGE OF ARTS & LETTERS PRESENT
Reza Aslan: Islam & ISIS
Amidst the recent terror attacks in the Middle East, Paris and San Bernardino, CA, harmful generalizations regarding the Muslim population\u27s involvement in terrorism have spread rapidly. In this exciting event, Reza Asian will be speaking about and answering questions regarding the relationship between radical Islam and terrorism. The event will be conducted largely in question and answer format, and audience members are invited to submit anonymous questions via text.
THURSDAY, FEBRUARY 4 8:00 PM JORDAN AUDITORIUM MENDOZA COLLEGE OF BUSINESS
Dr. Reza Asian, an internationally acclaimed writer and scholar of religions, is the author of the #1 New York Times Bestseller Zealot: The Life and Times of Jesus of Nazareth. His International Bestseller, No god but God: The Origins, Evolution, and Future of Islam, was named one of the 100 most important books of the last decade. In addition, he also has been featured as a correspondent for Fox News, CNN, John Stewart\u27s The Daily Show and the New York Times. He currently serves as Professor of Creative Writing at the University of California, Riverside and is filming his television show, Believer, that will premiere on CNN in 2016 .https://scholarship.law.nd.edu/ndls_posters/1192/thumbnail.jp
Reza Aslan - Author of No god but God and Expert on Islam
In partnership with the Quest for Community: A Call to Action Conference
The first young Muslim intellectual to come on the scene in years, Reza Aslan brings a new, passionate, and much-needed perspective to the national discussion regarding Islam. Aslan is a fellow at the University of Southern California\u27s Center on Public Diplomacy and Middle East analyst for CBS News. In his internationally acclaimed book No god but God: The Origins, Evolution, and Future of Islam, as in his lectures and writings, Aslan explores the intricate interplay between faith and politics in the Muslim world, presenting Islam as an ever-evolving faith and culture currently in the midst of a cataclysmic internal battle for reform and modernization.
Arrangements for the appearance of Reza Aslan made through Greater Talent network, Inc., NY, NY.https://corescholar.libraries.wright.edu/archives_presidential_lecture_series/1044/thumbnail.jp
Pseudoholomorphic quilts and Khovanov homology:
We generalize the symplectically-defined link homology theory developed by Paul Seidel and Ivan Smith to an invariant of tangles. We obtain a group-valued invariant, a functor-valued (or symplectic-valued functor) invariant and an ay functor-valued one for tangles. We provide evidence for the equivalence of this invariant with Khovanov's combinatorially defined invariant by showing the equivalence for flat (crossingless) tangles and their cobordisms. We also obtain an exact triangle for the Seidel-Smith invariant similar to that of Khovanov.Ph.D.Includes bibliographical references (p. 91-93)by Reza Rezazadega
Reza Aslan: Iranian-American Writer, Professor of Creative Writing
Reza Aslan, one of the nation\u27s most respected experts on Islam and the Middle East is a research associate at the University of Southern California\u27s Center on Public Diplomacy. He serves as a Middle East commentator for National Public Radio\u27s Marketplace and Muslim affairs analyst for CBS News.
The author of the internationally acclaimed No god but God: The Origins, Evolution, and Future of Islam, Aslan received critical acclaim from The New York Times, which described the work as a grippingly narrated and thoughtfully examined ... literate, accessible introduction to Islam.
Aslan has written for the Los Angeles Times, New York Times , Slate, Boston Globe, Washington Post and The Nation, and has appeared on Meet the Press, Hardball, The Daily Show, Real Time with Bill Maher and Nightline.
Aslan\u27s career began in 1998 when was elected president of Harvard\u27s chapter of the World Conference on Religion and Peace (WCRP), a United Nations organization committed to the cause of global understanding. After consecutive nuclear tests by India and Pakistan, the WCRP, under Aslan\u27s leadership, brought the ambassadors of the two countries to Harvard in order to discuss for the first time their shared nuclear future.
Aslan\u27s work with the WCRP led to a position as legislative assistant for the Friends Committee on National Legislation in Washington, D.C., where he served as a liaison to Congress on issues of arms control and the Middle East.
He holds a bachelor\u27s degree in religion from Santa Clara University, a master\u27s in theological studies from Harvard and a master of fine arts degree in fiction from the University of Iowa. He is currently a doctoral candidate in history of religions at the University of California, Santa Barbara
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