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Papers by Zdzislaw Rychlik
Journal of Statistical Planning and Inference, 2007
We study the asymptotic behaviour of stochastic processes that are generated by sums of partial s... more We study the asymptotic behaviour of stochastic processes that are generated by sums of partial sums of i.i.d. random variables and their renewals. We conclude that these processes cannot converge weakly to any nondegenerate random element of the space D[0, 1]. On the other hand we show that their properly normalized integrals as Vervaat-type stochastic processes converge weakly to a squared Wiener process. Moreover, we also deal with the asymptotic behaviour of the deviations of these processes, the so-called Vervaat-error type processes.
Abstract. A general almost sure limit theorem is presented for random fields. It is applied to ob... more Abstract. A general almost sure limit theorem is presented for random fields. It is applied to obtain almost sure versions of some (functional) central limit theorems. AMS 2000 subject classification: 60F05 Central limit and other weak theorems, 60F17 Functional limit theorems; invariance principles, 60F15 Strong theorems. Key words and phrases. Almost sure central limit theorem, random field, multiindex, strong law of large numbers, functional limit theorem. 1. Introduction and
The order of approximation in the random central limit theorem
Lecture Notes in Mathematics
Applications of Mathematics
Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents ... more Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use.
Annales Universitatis Mariae Curie-Sklodowska, sectio A – Mathematica
We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(... more We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(\max_{1\leq i\leq N_n} X_i\), where \(\{X_n, n \geq 1\}\) is a sequence of identically distributed random variables and \(\{N_n, n \geq 1\}\) is a sequence of positive integer random variables independent of \(\{X_n, n \geq 1\}\). Furthermore, we consider the almost sure random version of a limit theorem for \(k\)th order statistics.
Berry-esseen inequality for the sum of a random number of independent random variables
Mathematical Notes of the Academy of Sciences of the USSR
Marcinkiewicz-type strong law of large numbers for pairwise independent random fields
Probability and Mathematical Statistics, 2002
Abstract: We present the Marcinkiewicz-type strong law of large numbers for random fields {Xn, n∈... more Abstract: We present the Marcinkiewicz-type strong law of large numbers for random fields {Xn, n∈ Zd+} of pairwise independent random variables, where Zd+, d≥ 1, is the set of positive d-dimensional lattice points with coordinatewise partial ordering.
Probability and Mathematical Statistics, 2007
In this paper we present functional random-sum central limit theorems with almost sure convergenc... more In this paper we present functional random-sum central limit theorems with almost sure convergence for independent nonidentically distributed random variables. We consider the case where the summation random indices and partial sums are independent. In the past decade several authors have investigated the almost sure functional central limit theorems and related 'logarithmic' limit theorems for partial sums of independent random variables. We extend this theory to almost sure versions of the functional random-sum central limit theorems.
Rates of convergence in the weak law for martingale random fields
On some inequalities for the concentration function of the sum of a random number of independent random variables
On the rate of convergence for linear functionals of sums of martingale differences
Weak convergence of integral type functionals
Über die Konvergenzgeschwindigkeit in gewissen Grenzwertsätzen für die Summen einer zufälligen Anzahl zufälliger Summanden
Weak convergence of functionals of sums for martingale differences
Bulletin of the Polish Academy of Sciences Mathematics
On Barry-Esseen’s inequality for sums of a random number of independent random variables
On the rates of convergence in the generalized Anscombe theorem
Weak convergence of random reversed martingales with o-rates
Bulletin of the Polish Academy of Sciences Mathematics
Approximation of the distribution function of sums of a random number of random variables
Bulletin of the Polish Academy of Sciences Mathematics
On approxime la fonction de repartition d'un nombre aleatoire de variables aleatoires indepen... more On approxime la fonction de repartition d'un nombre aleatoire de variables aleatoires independantes par une fonction de repartition qui appartient a une classe plus large de distribution que la classe des lois stables
Journal of Statistical Planning and Inference, 2007
We study the asymptotic behaviour of stochastic processes that are generated by sums of partial s... more We study the asymptotic behaviour of stochastic processes that are generated by sums of partial sums of i.i.d. random variables and their renewals. We conclude that these processes cannot converge weakly to any nondegenerate random element of the space D[0, 1]. On the other hand we show that their properly normalized integrals as Vervaat-type stochastic processes converge weakly to a squared Wiener process. Moreover, we also deal with the asymptotic behaviour of the deviations of these processes, the so-called Vervaat-error type processes.
Abstract. A general almost sure limit theorem is presented for random fields. It is applied to ob... more Abstract. A general almost sure limit theorem is presented for random fields. It is applied to obtain almost sure versions of some (functional) central limit theorems. AMS 2000 subject classification: 60F05 Central limit and other weak theorems, 60F17 Functional limit theorems; invariance principles, 60F15 Strong theorems. Key words and phrases. Almost sure central limit theorem, random field, multiindex, strong law of large numbers, functional limit theorem. 1. Introduction and
The order of approximation in the random central limit theorem
Lecture Notes in Mathematics
Applications of Mathematics
Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents ... more Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use.
Annales Universitatis Mariae Curie-Sklodowska, sectio A – Mathematica
We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(... more We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(\max_{1\leq i\leq N_n} X_i\), where \(\{X_n, n \geq 1\}\) is a sequence of identically distributed random variables and \(\{N_n, n \geq 1\}\) is a sequence of positive integer random variables independent of \(\{X_n, n \geq 1\}\). Furthermore, we consider the almost sure random version of a limit theorem for \(k\)th order statistics.
Berry-esseen inequality for the sum of a random number of independent random variables
Mathematical Notes of the Academy of Sciences of the USSR
Marcinkiewicz-type strong law of large numbers for pairwise independent random fields
Probability and Mathematical Statistics, 2002
Abstract: We present the Marcinkiewicz-type strong law of large numbers for random fields {Xn, n∈... more Abstract: We present the Marcinkiewicz-type strong law of large numbers for random fields {Xn, n∈ Zd+} of pairwise independent random variables, where Zd+, d≥ 1, is the set of positive d-dimensional lattice points with coordinatewise partial ordering.
Probability and Mathematical Statistics, 2007
In this paper we present functional random-sum central limit theorems with almost sure convergenc... more In this paper we present functional random-sum central limit theorems with almost sure convergence for independent nonidentically distributed random variables. We consider the case where the summation random indices and partial sums are independent. In the past decade several authors have investigated the almost sure functional central limit theorems and related 'logarithmic' limit theorems for partial sums of independent random variables. We extend this theory to almost sure versions of the functional random-sum central limit theorems.
Rates of convergence in the weak law for martingale random fields
On some inequalities for the concentration function of the sum of a random number of independent random variables
On the rate of convergence for linear functionals of sums of martingale differences
Weak convergence of integral type functionals
Über die Konvergenzgeschwindigkeit in gewissen Grenzwertsätzen für die Summen einer zufälligen Anzahl zufälliger Summanden
Weak convergence of functionals of sums for martingale differences
Bulletin of the Polish Academy of Sciences Mathematics
On Barry-Esseen’s inequality for sums of a random number of independent random variables
On the rates of convergence in the generalized Anscombe theorem
Weak convergence of random reversed martingales with o-rates
Bulletin of the Polish Academy of Sciences Mathematics
Approximation of the distribution function of sums of a random number of random variables
Bulletin of the Polish Academy of Sciences Mathematics
On approxime la fonction de repartition d'un nombre aleatoire de variables aleatoires indepen... more On approxime la fonction de repartition d'un nombre aleatoire de variables aleatoires independantes par une fonction de repartition qui appartient a une classe plus large de distribution que la classe des lois stables