A note on weighted least square distribution fitting and full standardization of the empirical distribution function
Author:
Funder
Hrvatska Zaklada za Znanost
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s11749-018-0578-2/fulltext.html
Reference45 articles.
1. Amemiya T (1976) The maximum likelihood, the minimum chi- square and the nonlinear weighted least-squares estimator in the general qualitative response model. J Am Stat Assoc 71:347–351
2. Anderson TW, Darling DA (1952) Asymptotic theory of certain “goodness of fit” criteria based on stochastic processes. Ann Math Stat 23:193–212
3. Bar-On I, Codenotti B, Leoncini M (1997) A fast parallel Cholesky decomposition algorithm for tridiagonal symmetric matrices. SIAM J Matrix Anal Appl 18:403–418
4. Barrett WW (1979) A theorem on inverses of tridiagonal matrices. Linear Algebra Appl 27:211–217
5. Barrett WW, Feinsilver PJ (1978) Gaussian families and a theorem on patterned matrices. J Appl Prob 15:514–522
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