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Abstrakty
We consider a simple regression model where a regressor is composed of order statistics, and a noise is Markov-modulated. We introduce an empirical bridge of regression residuals and prove its weak convergence to a centered Gaussian process. In the proof we use convergence properties of order statistics.
Czasopismo
Rocznik
Tom
Strony
113--120
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
- Novosibirsk State Technical University, Karl Marx str. 20, Novosibirsk, 630073, Russia
- Novosibirsk State University, Pirogova str. 2, Novosibirsk, 630090, Russia
autor
- Sobolev Institute of Mathematics, Koptyuga str. 4, Novosibirsk, 630090, Russia
Bibliografia
- [1] A. Aue, L. Horvath, M. Huskova, and P. Kokoszka, Testing for change in polynomial regression, Bernoulli 14 (2008), pp. 637-660.
- [2] P. Billingsley, Convergence of Probability Measures, Wiley, New York 1968.
- [3] W. Bischoff, A functional central limit theorem for regression models, Ann. Statist. 26 (1998), pp. 1398-1410.
- [4] R. L. Brown, J. Durbin, and J. M. Evans, Techniques for testing the constancy of regression relationships over time, J. Roy. Statist. Soc. 37 (1975), pp. 149-192.
- [5] Y. Davydov and R. Zitikis, Convex rearrangements of random elements, Fields Inst. Commun. 44 (2004), pp. 141-171.
- [6] J. L. Gastwirth, A general definition of the Lorenz curve, Econometrica 39 (1971), pp. 1037-1039.
- [7] C. M. Goldie, Convergence theorems for empirical Lorenz curves and their inverses, Adv. in Appl. Probab. 9 (1977), pp. 765-791.
- [8] W. Hoeffding, On the distribution of the expected values of the order statistics, Ann. Math. Statist. 24 (1953), pp. 93-100.
- [9] J. F. C. Kingman, The ergodic theory of subadditive stochastic processes, J. Roy. Statist. Soc. Ser. B 30 (1968), pp. 499-510.
- [10] A. Kovalevskii, A regression model for prices of second-hand cars, in: Applied Methods of Statistical Analysis. Applications in Survival Analysis, Reliability and Quality Control, B. Lemeshko, M. Nikulin, and N. Balakrishnan (Eds.), Novosibirsk 2013, pp. 124-128.
- [11] I. B. MacNeill, Limit processes for sequences of partial sums of regression residuals, Ann. Probab. 6 (1978), pp. 695-698.
- [12] D. L. McLeish, Invariance principles for dependent variables, Z. Wahrsch. Verw. Gebiete 32 (1975), pp. 165-178.
- [13] W. Stute, Nonparametric model checks for regression, Ann. Statist. 25 (1997), pp. 613-641.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-4fcc1611-3a1b-4f41-b289-bb7887378dac