Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Gutti Jogesh Babu"'
Publikováno v:
Annual Review of Statistics and Its Application. 8:493-517
Modern astronomy has been rapidly increasing our ability to see deeper into the Universe, acquiring enormous samples of cosmic populations. Gaining astrophysical insights from these data sets requires a wide range of sophisticated statistical and mac
Autor:
Gutti Jogesh Babu
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-10
Publikováno v:
Probability and Number Theory — Kanazawa 2005, S. Akiyama, K. Matsumoto, L. Murata and H. Sugita, eds. (Tokyo: Mathematical Society of Japan, 2007)
A family of measures on the set of permutations of the first $n$ integers, known as Ewens sampling formula, arises in population genetics. In a series of papers, the first two authors have developed necessary and sufficient conditions for the weak co
Autor:
Gutti Jogesh Babu, A. R. Padmanabhan
Publikováno v:
Journal of Statistical Planning and Inference. 137:3261-3267
Robust tests are proposed for unrestricted and ordered alternatives in the multi-sample problem without assuming homogeneity of scales and/or symmetry of the underlying distributions. The methodology consists of bootstrapping appropriately centered M
Publikováno v:
Annals of the Institute of Statistical Mathematics. 55:83-94
One-term Edgeworth Expansions for the studentized version of compound Poisson processes are developed. For a suitably defined bootstrap in this context, the so called one-term Edgeworth correction by bootstrap is also established. The results are app
Publikováno v:
Lithuanian Mathematical Journal. 42:232-242
The Ewens sampling formula in population genetics can be viewed as a probability measure on the group of permutations of a finite set of integers. Functional limit theory for processes defined through partial sums of dependent variables with respect
Publikováno v:
Annals of the Institute of Statistical Mathematics. 54:607-620
The Ewens sampling formula in population genetics can be viewed as a probability measure on the group of permutations of a finite set of integers. Functional limit theory for processes defined through partial sums of dependent variables with respect
Publikováno v:
Biometrical Journal. 41:321-339
Consider the one-way ANOVA problem of comparing the means m 1 , m 2 m c of c distributions F 1 (x) = F(x-m 1 ) F c (x) = F(x-m c ). Solutions are available based on (i) normal-theory procedures, (ii) linear rank statistics and (iii) M-estimators. The
Autor:
Eric D. Feigelson, Gutti Jogesh Babu
Publikováno v:
Journal of Statistical Planning and Inference. 50:311-326
We review several topics arising in astronomical research where the statistical analysis of spatial point processes plays a central role in scientific investigations. These include: the distribution of stars in the Milky Way; the distribution of gala
Autor:
Gutti Jogesh Babu, Yogendra P. Chaubey
Publikováno v:
Annals of the Institute of Statistical Mathematics. 48:75-88
This paper studies regression, where the reciprocal of the mean of a dependent variable is considered to be a linear function of the regressor variables, and the observations on the dependent variable are assumed to have an inverse Gaussian distribut