Read this and then explain what is Marshall olkin transformation? When it is first used and why we need it? Simply explain background of this transformation?I have only this two pictures of this may be it is relevant or not? 10:06Answer 1 of 1In the 1970s, Olkin turned his attention tothe problem of moment estimation in thepresence of multivariate data. He developedthe method of moments estimation, whichis a generalization of the method ofmoments estimation for univariate data. Healso showed that the method of momentsestimation is asymptotically efficient in thepresence of multivariate data.In the 1980s, Olkin developed the theory oforder statistics for multivariate data. Heshowed that the distribution of the orderstatistics of a multivariate random vector isa generalization of the univariate case. Healso derived the asymptotic distribution ofthe order statistics of a multivariate randomvector.Olkin has also made contributions to thefields of nonparametric statistics and timeseries analysis. In the field of nonparametricstatistics, he has developed the theory ofrank-based nonparametric tests. In the fieldof time series analysis, he has developedthe theory of autoregressive movingDoneaverage processes.Olkin has been a member of the NationalAcademy of Sciences since 1975. He is aFellow of the American StatisticalAssociation and the Institute ofMathematical Statistics. He has also been aGuggenheim Fellow and a Fulbright Scholar.Olkin has received many honors and awardsfor his contributions to statistics. Inparticular, he has been awarded theDumnidantal Anal of the lotitia of Marshall Olkin is an American statisticianwho has made significant contributions tothe fields of multivariate analysis anddistribution theory. He is best known for hiswork on the multivariate normal distributionand its generalizations, as well as for hisdevelopment of the method of momentsestimation.Olkin was born in New York City in 1930. Hereceived his bachelor's degree inmathematics from Brooklyn College in 1951,and his master's and Ph.D. in statistics fromStanford University in 1952 and 1955respectively. After completing his Ph.D.,Olkin joined the statistics faculty at theUniversity of California, Berkeley, where heremained for his entire career.Olkin's early work focused on themultivariate normal distribution and itsgeneralizations. In particular, he derived themoment estimators for the mean andvariance of the multivariate normaldistribution, and showed that theseestimators are asymptotically efficient. Healso developed the theory of ellipticallycontoured distributions, which aregeneralizations of the multivariate normaldistribution.

Marshall Olkin Transformation is a mathematical technique used in the field of probability and…

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what is Marshall olkin transformation? When it is first used and why we need it? Simply explain background of this transformation?

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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