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Journal ArticleDOI

On Darling–Robbins type confidence sequences and sequential tests with power one for parameters of an autoregressive process

15 Nov 1999-Statistics & Probability Letters (Elsevier)-Vol. 45, Iss: 3, pp 205-214
TL;DR: In this article, the authors obtained confidence sequences using Chow's generalization of the Hajek-Renyi inequality and the law of iterated logarithm for the autoregressive parameter in a stable first-order auto-regression model where innovations are assumed to be independently and identically distributed.
About: This article is published in Statistics & Probability Letters.The article was published on 1999-11-15. It has received 1 citations till now. The article focuses on the topics: SETAR & Autoregressive integrated moving average.
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TL;DR: In this paper, the authors proposed a prediction interval of the heat rate values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR.
Abstract: The plant ‘Heat Rate’ (HR) is a measure of overall efficiency of a thermal power generating system. It depends on a large number of factors, some of which are non-measurable, while data relating to others are seldom available and recorded. However, coal quality (expressed in terms of ‘effective heat value’ (EHV) as kcal/kg) transpires to be one of the important factors that influences HR values and data on EHV are available in any thermal power generating system. In the present work, we propose a prediction interval of the HR values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR. The underlying theory borrows the idea of providing simultaneous confidence interval (SCI) to the coefficients of a p-th p(≥1) order autoregressive model (AR(p)). The theory has been substantiated with the help of real life data from a power utility (after suitable base and scale transfo...

Cites background or methods from "On Darling–Robbins type confidence ..."

  • ...The proof of the first one is quite trivial while the second follows as a consequence of Basu & Mukhopadhyay (1998, 1999)....

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  • ...Step 2 demands special attention and requires some novel techniques, as in Basu & Mukhopadhyay (1998, 1999), modified accordingly to suit the present problem....

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  • ...This difficulty may be overcome by considering the series of HR and EHV for a given plant as a time series (the data are usually collected for each day) and extending the idea of providing confidence interval for the autoregressive parameters as has been done by Basu & Mukhopadhyay (1998, 1999)....

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  • ...…Z∗t−1Z ∗′ t−1 )−1 ( n∑ t=1 Z∗t−1εt ) (A6) Write Mn = ∑nt=1 Z∗t−1Z∗′t−1 and (0) = E ( n∑ t=1 Z∗t−1Z ∗′ t−1 ) (A7) It is well known that, as n → ∞ (Mn/n) a.s.−→ (0), and 1 σ 2 (α̂ − α)′Mn(α̂ − α)χ2p (A8) Following Basu & Mukhopadhyay (1998, 1999), a fixed width SCI for l′α, l : l′l = 1, may be given…...

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References
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TL;DR: A sequence of independent, identically distributed random variables with mean 0, variance 1, and moment generating function ϕ(t) = E(etz) finite in some neighborhood of t= 0 is introduced.
Abstract: 1. Introduction—Let x,x 1, x 2 … be a sequence of independent, identically distributed random variables with mean 0, variance 1, and moment generating function ϕ(t) = E(etz) finite in some neighborhood of t= 0, and put S n = x 1, + … + x n, \(\bar x\) n = S n/n. For any sequence of positive constants a n, n ≥ 1, let P m = P(|\(\bar x\) n| ≥ a n for some n ≥ m).

63 citations