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Relevant bibliographies by topics / Multiplicative binomial

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Academic literature on the topic 'Multiplicative binomial'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Multiplicative binomial"

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Shephard, G. C. "Multiplicative Identities for Binomial Coefficients." Fibonacci Quarterly 49, no. 1 (2011): 10–21. http://dx.doi.org/10.1080/00150517.2011.12428069.

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Bayo, H. Lawal. "Employing the Double, Multiplicative and The Com-Poisson Binomial Distributions for modeling Over and Under-dispersed Binary Data." Employing the Double, Multiplicative and The Com-Poisson Binomial Distributions for modeling Over and Under-dispersed Binary Data 23, no. 3 (2017): 1–17. https://doi.org/10.9734/JAMCS/2017/33475.

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In this paper, we compare the performances of several models for tting over-dispersed binary data. The distribution models considered in this study include the binomial (BN), the beta- binomial (BB), the multiplicative binomial (MBM), the Com-Poisson binomial (CPB) and the double binomial (DBM) models. Applications of these models to several well known data sets exhibiting under-dispersion and over-dispersion were considered in this paper. We applied these models to two frequency data sets and two data sets with covariates that have been variously analysed in the literature. The rst relates to

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Xia, Jianguo, and Hourong Qin. "On the multiplicative independence of binomial coefficients." Acta Arithmetica 116, no. 3 (2005): 289–92. http://dx.doi.org/10.4064/aa116-3-4.

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Lovison, G. "An alternative representation of Altham's multiplicative-binomial distribution." Statistics & Probability Letters 36, no. 4 (1998): 415–20. http://dx.doi.org/10.1016/s0167-7152(97)00088-6.

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VOJAK, ROBERT, and JACQUES LÉVY VÉHEL. "PREDICTABILITY OF MULTIPLICATIVE PROCESSES: A PRELIMINARY STUDY." Fractals 02, no. 03 (1994): 383–86. http://dx.doi.org/10.1142/s0218348x9400048x.

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We define a multifractal analysis for correlations. We present explicit results in the case of deterministic multinomial measures, and show that the multifractal formalism does not hold for correlations on binomial measures.

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Cheng, Q. "Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions." Nonlinear Processes in Geophysics 21, no. 2 (2014): 477–87. http://dx.doi.org/10.5194/npg-21-477-2014.

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Abstract. The concepts and models of multifractals have been employed in various fields in the geosciences to characterize singular fields caused by nonlinear geoprocesses. Several indices involved in multifractal models, i.e., asymmetry, multifractality, and range of singularity, are commonly used to characterize nonlinear properties of multifractal fields. An understanding of how these indices are related to the processes involved in the generation of multifractal fields is essential for multifractal modeling. In this paper, a five-parameter binomial multiplicative cascade model is proposed

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de Godoy Stênico, Jeferson Wilian, and Lee Luan Ling. "Modern network traffic modeling based on binomial multiplicative cascades." Journal of Supercomputing 71, no. 5 (2014): 1712–35. http://dx.doi.org/10.1007/s11227-014-1255-1.

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Bayo, H. Lawal. "On Modeling the Double and Multiplicative Binomial Models as Log-Linear Models." Advances in Computer Sciences (ISSN:2517-5718) 1, no. 1 (2018): 1–10. https://doi.org/10.31021/acs.20181103.

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<strong>Abstract</strong> In this paper we have fitted the double binomial and multiplicative binomial distributions as log-linear models using sufficient statistics. This approach is not new as several authors have employed this approach, most especially in the analysis of the Human sex ratio in [1]. However, obtaining the estimated parameters of the distributions may be problematic, especially for the double binomial where the parameter estimate of π may not be readily available from the Log-Linear (LL) parameter estimates. Other issues associated with the LL approach is its implementatio

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Chen, James J., and Hongshik Ahn. "Marginal Models with Multiplicative Variance Components for Overdispersed Binomial Data." Journal of Agricultural, Biological, and Environmental Statistics 2, no. 4 (1997): 440. http://dx.doi.org/10.2307/1400513.

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Del Fava, Emanuele, Ziv Shkedy, Mehreteab Aregay, and Geert Molenberghs. "Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects." Statistical Modelling: An International Journal 14, no. 2 (2014): 99–133. http://dx.doi.org/10.1177/1471082x13503450.

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Book chapters on the topic "Multiplicative binomial"

1

Jøsang, Audun. "Binomial Multiplication and Division." In Artificial Intelligence: Foundations, Theory, and Algorithms. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42337-1_7.

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Sigler, Laurence. "Here Begins the Fourteenth Chapter, On Finding Square and Cubic Roots, and on the Multiplication, Division, and Subtraction of Them, and On the Treatment of Binomials and Apotomes and their Roots." In Fibonacci’s Liber Abaci. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0079-3_15.

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Fedorov, Eugene, Tetyana Utkina, and Tetyana Neskorodeva. "A Voice Signal Filtering Methods for Speaker Biometric Identification." In Recent Advances in Biometrics [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101975.

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The preliminary stage of the personality biometric identification on a voice is voice signal filtering. For biometric identification are considered and in number investigated the following methods of noise suppression in a voice signal. The smoothing adaptive linear time filtering (algorithm of the minimum root mean square error, an algorithm of recursive least squares, an algorithm of Kalman filtering, a Lee algorithm), the smoothing adaptive linear frequency filtering (the generalized method, the MLEE (maximum likelihood envelope estimation) method, a wavelet analysis with threshold processi

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Vishwakarma, Suryaprakash, and Seema Purohit. "RASCAL TRIANGLE." In Futuristic Trends in Contemporary Mathematics & Applications Volume 3 Book 2. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkcm2p6ch2.

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In Combinatorics use of Pascal Triangle techniques and identities is well known when it comes to deriving Binomial Coefficients, Fibonacci Numbers, Interesting Numbers Patterns. Literature shows though not much efforts are being done to generate the Pascal like pattens, a decade ago in 2010, Pascal like triangles are generated by three middle school students using their own alternate ways, without knowing what Pascal Triangle is about. They coined the name “Rascal Triangle” for the new number patterns generated by them. In this Chapter, researchers tried to regenerate the generalizations of Ra

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Sivia, D. S., J. L. Rhodes, and S. G. Rawlings. "Basic algebra and arithmetic." In Foundations of Science Mathematics. Oxford University Press, 2020. http://dx.doi.org/10.1093/hesc/9780198797548.003.0001.

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This chapter provides an overview of basic algebra and arithmetic. To avoid ambiguities, the text introduces an order ranking the priorities of the various basic arithmetical operations has been agreed; this convention , which can be remembered by the acronym BODMAS. According to BODMAS, things occurring inside a bracket must be evaluated first; the next most important operation is 'orders', as in powers and roots; then, it is division or multiplication, as they appear left-to-right;, and lastly addition or subtraction. The chapter also then looks at powers, roots, and logarithms; quadratic eq

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Wilson, Edward O. "The Meaning of Biodiversity and the Tree of Life." In Assembling the Tree of Life. Oxford University PressNew York, NY, 2004. http://dx.doi.org/10.1093/oso/9780195172348.003.0031.

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Abstract It seems very likely, in accordance with the belief of many anthropologists, that the first words to emerge during the evolution of human speech were used to specify people, plants, animals, and other objects, a roster that proliferated rapidly thereafter. That step, which presumably occurred sometime during the transition from Homo erectus to Homo sapiens a half million years ago, can rightfully be considered the earliest roots of science. Accuracy and repeatability were vital for the sake of survival, then as now. Getting things by their right names, as the Chinese say, is the first

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Conference papers on the topic "Multiplicative binomial"

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KATSURAGI, H., D. SUGINO, and H. HONJO. "BINOMIAL MULTIPLICATIVE MODEL OF CRITICAL FRAGMENTATION." In Fractals and Related Phenomena in Nature. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702746_0019.

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Paraíba, Carolina C. M., Carlos A. R. Diniz, and Rubiane M. Pires. "A Bayesian approach for the multiplicative binomial regression model." In XI BRAZILIAN MEETING ON BAYESIAN STATISTICS: EBEB 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4759608.

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De Godoy Stenico, J. W., and Lee Luan Ling. "A New Binomial Conservative Multiplicative Cascade Approach for Network Traffic Modeling." In 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2013. http://dx.doi.org/10.1109/aina.2013.18.

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"AN EFFICIENT MULTIPLICATION ALGORITHM USING BINOMIAL RESIDUE REPRESENTATION." In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001924503190324.

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