• Title/Summary/Keyword: partial sums

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Almost Sure Convergence of Randomly Weighted Sums with Application to the Efrom Bootstrap

  • Kim, Tae-Sung;Kim, Hyuk-Joo;Seok, Eun-Yang
    • Communications for Statistical Applications and Methods
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    • v.6 no.2
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    • pp.585-594
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    • 1999
  • Let {$X_{nj}$, 1$\leq$j$\leq$n,j$\geq$1} be a triangular array of random variables which are neither independent nor identically distributed. The almost sure convergences of randomly weighted partial sums of the form $$\sum_n^{j=1}$$ $W_{nj}$$X_{nj} are studied where {Wnj 1$\leq$j$\leq$n, j$\geq$1} is a triangular array of random weights. Application regarding the Efron bootstrap is also introduced.

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A CENTRAL LIMIT THEOREM FOR LINEAR PROCESSES UNDER LINEAR NEGATIVELY QUADRANT DEPENDENCE

  • Kim, Hyun-Chull
    • Journal of the Chungcheong Mathematical Society
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    • v.26 no.3
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    • pp.615-623
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    • 2013
  • In this paper we establish a central limit theorem for weighted sums of $Y_n={\sum_{i=1}^{n}}a_n,_iX_i$, where $\{a_{n,i},\;n{\in}N,\;1{\leq}i{\leq}n\}$ is an array of nonnegative numbers such that ${\sup}_{n{\geq}1}{\sum_{i=1}^{n}}a_{n,i}^2$ < ${\infty}$, ${\max}_{1{\leq}i{\leq}n}a_{n,i}{\rightarrow}0$ and $\{X_i,\;i{\in}N\}$ is a sequence of linear negatively quadrant dependent random variables with $EX_i=0$ and $EX_i^2$ < ${\infty}$. Using this result we will obtain a central limit theorem for partial sums of linear processes.

The Strong Laws of Large Numbers for Weighted Averages of Dependent Random Variables

  • Kim, Tae-Sung;Lee, Il-Hyun;Ko, Mi-Hwa
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.451-457
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    • 2002
  • We derive the strong laws of large numbers for weighted averages of partial sums of random variables which are either associated or negatively associated. Our theorems extend and generalize strong law of large numbers for weighted sums of associated and negatively associated random variables of Matula(1996; Probab. Math. Statist. 16) and some results in Birkel(1989; Statist. Probab. Lett. 7) and Matula (1992; Statist. Probab. Lett. 15 ).

Generalized k-Balancing and k-Lucas Balancing Numbers and Associated Polynomials

  • Kalika Prasad;Munesh Kumari;Jagmohan Tanti
    • Kyungpook Mathematical Journal
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    • v.63 no.4
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    • pp.539-550
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    • 2023
  • In this paper, we define the generalized k-balancing numbers {B(k)n} and k-Lucas balancing numbers {C(k)n} and associated polynomials, where n is of the form sk+r, 0 ≤ r < k. We give several formulas for these new sequences in terms of classic balancing and Lucas balancing numbers and study their properties. Moreover, we give a Binet style formula, Cassini's identity, and binomial sums of these sequences.

Efficient Power Allocation Algorithm for Wireless Networks (무선망의 효율적 전력 할당 알고리즘)

  • Ahn, Hong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.103-108
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    • 2016
  • In communication systems the solution of the problem of maximizing the mutual information between the input and output of a channel composed of several subchannels under total power constraint has a waterfilling structure. OFDM and MIMO can be decomposed into parallel subchannels with CSI. Waterfilling solves the problem of optimal power allocation to these subchannels to achieve the rate approaching the channel capacity under total power constraint. In waterfilling, more power is alloted to good channels(high SNR) and less or no power to bad channels to increase the rate of good channels, resulting in channel capacity. Waterfilling finds the exact water level satisfying the power constraint employing an iterative algorithm to estimate and update the water level. In this process computation of partial sums of inverse of square of subchannel gain is repeatedly required. In this paper we reduced the computation time of waterfilling algorithm by replacing the partial sum computation with reference to an array which contains the precomputed partial sums in initialization phase.

ON A CLASS OF ANALYTIC FUNCTIONS INVOLVING RUSCHEWEYH DERIVATIVES

  • Yang, Dinggong;Liu, Jinlin
    • Bulletin of the Korean Mathematical Society
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    • v.39 no.1
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    • pp.123-131
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    • 2002
  • Let A(p, k) (p, k$\in$N) be the class of functions f(z) = $z^{p}$ + $a_{p+k}$ $z^{p+k}$+… analytic in the unit disk. We introduce a subclass H(p, k, λ, $\delta$, A, B) of A(p, k) by using the Ruscheweyh derivative. The object of the present paper is to show some properties of functions in the class H(p, k, λ, $\delta$, A, B). B).

Some Distribution Results on Random Walk with Unspecified Terminus

  • Saran, Jagdish;Bansal, Sarita
    • Journal of the Korean Statistical Society
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    • v.30 no.3
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    • pp.529-539
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    • 2001
  • This paper deals with the distributions of certain characteristics related to a symmetric random walk of an steps ending at an unspecified position, thus generalizing and extending the earlier work.

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FOURIER SERIES ACCELERATION AND HARDY-LITTLEWOOD SERIES

  • Ciszewski, Regina;Gregory, Jason;Moore, Charles N.;West, Jasmine
    • Journal of applied mathematics & informatics
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    • v.31 no.1_2
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    • pp.263-276
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    • 2013
  • We discuss the effects of the ${\delta}^2$ and Lubkin acceleration methods on the partial sums of Fourier Series. We construct continuous, even H$\ddot{o}$lder continuous functions, for which these acceleration methods fail to give convergence. The constructed functions include some interesting trigonometric series whose properties were investigated by Hardy and Littlewood.

CONVERGENCE PROPERTIES OF THE PARTIAL SUMS FOR SEQUENCES OF END RANDOM VARIABLES

  • Wu, Yongfeng;Guan, Mei
    • Journal of the Korean Mathematical Society
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    • v.49 no.6
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    • pp.1097-1110
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    • 2012
  • The convergence properties of extended negatively dependent sequences under some conditions of uniform integrability are studied. Some sufficient conditions of the weak law of large numbers, the $p$-mean convergence and the complete convergence for extended negatively dependent sequences are obtained, which extend and enrich the known results in the literature.

THE ALMOST SURE CONVERGENCE FOR THE IDENTICALLY DISTRIBUTED NEGATIVELY ASSOCIATED RANDOM VARIABLES WITH INFINITE MEANS

  • Kim, Hyun-Chull
    • Journal of applied mathematics & informatics
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    • v.28 no.1_2
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    • pp.363-372
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    • 2010
  • In this paper we prove the almost sure convergence of partial sums of identically distributed and negatively associated random variables with infinite expectations. Some results in Kruglov[Kruglov, V., 2008 Statist. Probab. Lett. 78(7) 890-895] are considered in the case of negatively associated random variables.