“…In this section, we utilize the data set which represents the records of the amount of annual (January 1-December 31) rainfall in inches recorded at Los Angeles Civic Center LACC during the 100-year period from 1890 until 1989, presented by Arnold et al [1998, p. 180]. A member of the F α model (Model 2) with survival function as in (9), that is the Rayleigh distribution with cdf…”
Section: Rainfall Data: An Illustrative Examplementioning
confidence: 99%
“…Theorem 2 Assume G to be known and let H = − log Ḡ be the cumulative hazard function of G. For the general family (9), an unbiased estimator of θ [n] , under the SEL function, is…”
“…Theorem 4 For the general family (9), and under the SEL function, an unbiased estimator of the risk of an estimator…”
Section: Corollary 1 Under the Model 1 And The Sel Function An Unbias...mentioning
confidence: 99%
“…Lemma 2 Let X 1 , X 2 , · · · be a sequence of independent random variables with survival function defined in (9). Let u j (x) be a real-valued function such that for j = 1, 2, · · · , ∀θ (ii)…”
Section: Introductionmentioning
confidence: 99%
“…The next result gives the unbiased estimator of θ [n] , under SEL function, for the general family (9).…”
We introduce the problem of estimation of the parameters of a dynamically selected population in an infinite sequence of random variables and provide its application in the statistical inference based on record values from a non-stationary scheme. We develop unbiased estimation of the parameters of the dynamically selected population and evaluate the risk of the estimators. We provide comparisons with natural estimators and obtain asymptotic results. Finally, we illustrate the applicability of the results using real data.
“…In this section, we utilize the data set which represents the records of the amount of annual (January 1-December 31) rainfall in inches recorded at Los Angeles Civic Center LACC during the 100-year period from 1890 until 1989, presented by Arnold et al [1998, p. 180]. A member of the F α model (Model 2) with survival function as in (9), that is the Rayleigh distribution with cdf…”
Section: Rainfall Data: An Illustrative Examplementioning
confidence: 99%
“…Theorem 2 Assume G to be known and let H = − log Ḡ be the cumulative hazard function of G. For the general family (9), an unbiased estimator of θ [n] , under the SEL function, is…”
“…Theorem 4 For the general family (9), and under the SEL function, an unbiased estimator of the risk of an estimator…”
Section: Corollary 1 Under the Model 1 And The Sel Function An Unbias...mentioning
confidence: 99%
“…Lemma 2 Let X 1 , X 2 , · · · be a sequence of independent random variables with survival function defined in (9). Let u j (x) be a real-valued function such that for j = 1, 2, · · · , ∀θ (ii)…”
Section: Introductionmentioning
confidence: 99%
“…The next result gives the unbiased estimator of θ [n] , under SEL function, for the general family (9).…”
We introduce the problem of estimation of the parameters of a dynamically selected population in an infinite sequence of random variables and provide its application in the statistical inference based on record values from a non-stationary scheme. We develop unbiased estimation of the parameters of the dynamically selected population and evaluate the risk of the estimators. We provide comparisons with natural estimators and obtain asymptotic results. Finally, we illustrate the applicability of the results using real data.
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