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The Burr XIIGeometric Distribution
"... In this paper a lifetime distribution which is obtained by compounding Burr XII and geometric distributions, named Burr XIIgeometric (BXIIG) distribution, is introduced. Several properties of the distribution such as density function, survival function, hazard function, mean lifetime, moments, orde ..."
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In this paper a lifetime distribution which is obtained by compounding Burr XII and geometric distributions, named Burr XIIgeometric (BXIIG) distribution, is introduced. Several properties of the distribution such as density function, survival function, hazard function, mean lifetime, moments
On convolutions of compound geometric distributions
, 2008
"... Let G(x) be a compound geometric distribution function of a random variable S, defined by G(x) = Pr(S ≤ x) = n=0 (1 − φ)φn F ∗n(x) (0 < φ < 1), and let A(x) be the d.f. of a random variable independent of S. In this work, we derive new results concerning stochastic comparisons of the function ..."
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Let G(x) be a compound geometric distribution function of a random variable S, defined by G(x) = Pr(S ≤ x) = n=0 (1 − φ)φn F ∗n(x) (0 < φ < 1), and let A(x) be the d.f. of a random variable independent of S. In this work, we derive new results concerning stochastic comparisons
GEOMETRIC DISTRIBUTIONS AND FORBIDDEN SUBWORDS
, 1995
"... In a recent paper [1] Barry and Lo Bello dealt with the moment generating function of the geometric distribution of order k. I want to draw the attention of the Fibonacci Community to several related papers that were apparently missed by the authors and also to provide a straightforward derivation o ..."
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In a recent paper [1] Barry and Lo Bello dealt with the moment generating function of the geometric distribution of order k. I want to draw the attention of the Fibonacci Community to several related papers that were apparently missed by the authors and also to provide a straightforward derivation
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
 JOURNAL OF MACHINE LEARNING RESEARCH
, 2006
"... We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semisupervised framework that incorporates labeled and unlabeled data in a generalpurpose learner. Some transductive graph learning al ..."
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Cited by 578 (16 self)
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We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semisupervised framework that incorporates labeled and unlabeled data in a generalpurpose learner. Some transductive graph learning
On bivariate geometric distribution
 Statistica
, 2007
"... Probability distributions of random sums of independently and identically distributed random variables are mainly applied in modeling practical problems that deal with certain phenomena in which the respective mathematical models are sums of random number of independent random variables. A lot of s ..."
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Cited by 1 (0 self)
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Probability distributions of random sums of independently and identically distributed random variables are mainly applied in modeling practical problems that deal with certain phenomena in which the respective mathematical models are sums of random number of independent random variables. A lot
Fuzzy Geometric Distribution with Some Properties
"... In this Paper,we drive the fuzzy probability mass function of geometric distribution,its fuzzy distribution function and some of its properties such as fuzzy mean, like fuzzy variance and fuzzy moment generating function, and we use the fuzzy moment generating function to generate fuzzy moments fo ..."
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In this Paper,we drive the fuzzy probability mass function of geometric distribution,its fuzzy distribution function and some of its properties such as fuzzy mean, like fuzzy variance and fuzzy moment generating function, and we use the fuzzy moment generating function to generate fuzzy moments for
An Improved Geometric Approximation for the Beta Geometric Distribution
, 2014
"... Abstract The paper gives an approximation of the beta geometric distribution with parameters α and β by an improved geometric distribution with parameter α α+β . The improved geometric approximation is more accurate than the geometric approximation when α is large. Mathematics Subject Classificatio ..."
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Abstract The paper gives an approximation of the beta geometric distribution with parameters α and β by an improved geometric distribution with parameter α α+β . The improved geometric approximation is more accurate than the geometric approximation when α is large. Mathematics Subject
9 Quasi Lindley Geometric Distribution
"... In this paper, we introduce a new class of lifetime distributions which is called the Quasi Lindley Geometric (QLG) distribution. This distribution obtained by compounding the Quasi Lindley and geometric distributions. Some structural properties of the proposed new distribution are discussed, includ ..."
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In this paper, we introduce a new class of lifetime distributions which is called the Quasi Lindley Geometric (QLG) distribution. This distribution obtained by compounding the Quasi Lindley and geometric distributions. Some structural properties of the proposed new distribution are discussed
Randomized Gossip Algorithms
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 2006
"... Motivated by applications to sensor, peertopeer, and ad hoc networks, we study distributed algorithms, also known as gossip algorithms, for exchanging information and for computing in an arbitrarily connected network of nodes. The topology of such networks changes continuously as new nodes join a ..."
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Cited by 532 (5 self)
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Motivated by applications to sensor, peertopeer, and ad hoc networks, we study distributed algorithms, also known as gossip algorithms, for exchanging information and for computing in an arbitrarily connected network of nodes. The topology of such networks changes continuously as new nodes join
Secure spread spectrum watermarking for multimedia
 IEEE TRANSACTIONS ON IMAGE PROCESSING
, 1997
"... This paper presents a secure (tamperresistant) algorithm for watermarking images, and a methodology for digital watermarking that may be generalized to audio, video, and multimedia data. We advocate that a watermark should be constructed as an independent and identically distributed (i.i.d.) Gauss ..."
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Cited by 1100 (10 self)
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This paper presents a secure (tamperresistant) algorithm for watermarking images, and a methodology for digital watermarking that may be generalized to audio, video, and multimedia data. We advocate that a watermark should be constructed as an independent and identically distributed (i
Results 1  10
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205,831