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Libros sobre el tema "Conditionally independent random variables"

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Publicado: 1 de junio de 2024

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1

Braverman, Michael Sh. Independent random variables and rearrangement invariant spaces. Cambridge University Press, 1994.

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2

M, Lee Lawrence, Nicol David, and United States. National Aeronautics and Space Administration., eds. On the minimum of independent geometrically distributed random variables. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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3

Arak, T. V. Uniform limit theorems for sums of independent random variables. American Mathematical Society, 1988.

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4

Petrov, V. V. Limit theorems of probability theory: Sequences of independent random variables. Clarendon Press, 1995.

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5

Meerschaert, Mark M. Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice. John Wiley & Sons, 2001.

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6

Random walk and the heat equation. American Mathematical Society, 2010.

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7

Lemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.

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The monograph discusses the application of statistical criteria aimed at testing hypotheses about the absence of a trend in the analyzed samples. The rejection of such a hypothesis gives grounds to consider the analyzed data as samples of independent equally distributed random variables. We consider a set of special criteria aimed at testing such hypotheses, as well as a set of criteria for the uniformity of laws, the uniformity of averages and the uniformity of variances, which can also be used for these purposes. The disadvantages and advantages of various criteria are emphasized, the applic
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8

Schurz, Henri, Philip J. Feinsilver, Gregory Budzban, and Harry Randolph Hughes. Probability on algebraic and geometric structures: International research conference in honor of Philip Feinsilver, Salah-Eldin A. Mohammed, and Arunava Mukherjea, June 5-7, 2014, Southern Illinois University, Carbondale, Illinois. Edited by Mohammed Salah-Eldin 1946- and Mukherjea Arunava 1941-. American Mathematical Society, 2016.

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9

Brown, A. A., and V. V. Petrov. Sums of Independent Random Variables. de Gruyter GmbH, Walter, 2022.

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10

Brown, A. A., and V. V. Petrov. Sums of Independent Random Variables. Springer, 2011.

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11

Sums of Independent Random Variables. Springer, 2011.

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12

Braverman, Michael Sh. Independent Random Variables and Rearrangement Invariant Spaces. Cambridge University Press, 2010.

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13

Braverman, Michael Sh. Independent Random Variables and Rearrangement Invariant Spaces. Cambridge University Press, 2011.

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14

Gnedenko, B. V., K. L. Chung, and A. N. Kolmogorov. Limit Distributions for Sums of Independent Random Variables. Martino Fine Books, 2021.

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15

A. N. (Andreĭ Nikolaevich) Kolmogorov and B. V. (Boris Vladimirovich) Gnedenko. Limit Distributions for Sums of Independent Random Variables. Creative Media Partners, LLC, 2021.

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16

Korolev, V. Y., and V. M. Zolotarev. Limit Distributions for Sums of Independent Random Variables. Brill Academic Pub, 2007.

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17

Gnedenko, B. V. Limit distributions for sums of independent random variables. 2nd ed. Wiley, 1994.

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18

Independent Component Analysis: Algorithms, Applications and Ambiguities. Nova Science Pub Inc., 2018.

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19

Hájek, Alan, and Christopher Hitchcock. Probability for Everyone—Even Philosophers. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.2.

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In this chapter the basics of probability theory are introduced, with particular attention to those topics that are most important for applications in philosophy. The formalism is described in two passes. The first presents finite probability, which suffices for most philosophical discussions of probability. The second presents measure theory, which is needed for applications involving infinities or limits. Key concepts such as conditional probability, probabilistic independence, random variables, and expectation are defined. In addition, several important theorems, including Bayes’ theorem, t
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20

Butyrskiy, Evgeniy. Methods for modeling and estimating random variables and processes. Strategy of the Future, 2020. http://dx.doi.org/10.37468/mon_1850.

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The monograph introduces the basics of theory and practice of mathematical research methods of stochastic systems and processes. It examines the models, methods of describing and forming random events, values and processes, as well as methods of their optimal and suboptimal assessment. The monograph can be useful for a wide range of specialists in various fields of expertise in mathematical and statistical modeling in their research, and can also be used in the learning process to conduct both classroom, and independent theoretical and practical classes with students and masters of St. Petersb
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21

Meerschaert, Mark M., and Hans-Peter Scheffler. Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice (Wiley Series in Probability and Statistics). Wiley-Interscience, 2001.

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22

Bellhouse, David. Probability and Its Application in Britain during the 17th and 18th Centuries. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.5.

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In the 18th and 19th centuries, probability was a part of moral and natural sciences, rather than of mathematics. Still, since Laplace’s 1812 Théorie analytique des probabilités, specific analytic methods of probability aroused the interest of mathematicians, and probability began to develop a purely mathematical quality. In the 20th century the mathematical essence reached full autonomy and constituted “modern” probability. Significant in this development was the gradual introduction of a measure theoretic framework. In this way, the main subfields of modern probability, as axiomatics, weak a
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23

Scarani, Valerio. Bell Nonlocality. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198788416.001.0001.

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Nonlocality was discovered by John Bell in 1964, in the context of the debates about quantum theory, but is a phenomenon that can be studied in its own right. Its observation proves that measurements are not revealing pre-determined values, falsifying the idea of “local hidden variables” suggested by Einstein and others. One is then forced to make some radical choice: either nature is intrinsically statistical and individual events are unspeakable, or our familiar space-time cannot be the setting for the whole of physics. As phenomena, nonlocality and its consequences will have to be predicted
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24

Adams, Karen Ruth. The Causes of War. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.323.

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The scientific study of war is a pressing concern for international politics. Given the destructive nature of war, ordinary citizens and policy makers alike are eager to anticipate if not outright avoid outbreaks of violence. Understanding the causes of war can be a complex process. Scholars of international relations must first define war, and then establish a universe of actors or conflicts in which both war and peace are possible. Next, they must collect data on the incidence of war in the entire universe of cases over a particular period of time, a random sample of relevant cases, a number
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25

RANGANATHAN, VINAY, and E. ESWARA REDDY. A STUDY ON LEADERSHIP STYLES OF PRINCIPALS AND ORGANIZATIONAL COMMITMENT OF TEACHERS IN SECONDARY SCHOOLS OF BENGALURU CITY. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-72-3.

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The problem statement of the study was to compare the educational leadership behaviours of government and private school principals in Bengaluru city and to understand the organizational commitment of teachers in relation to demographic variables. The objectives were i) to study perceptions of secondary school teachers on the leadership styles of their Principals ii) to compare the differences in leadership attributes between government and private school principals in select schools of Bengaluru city iii) to study the influence of demographic variables on the organizational commitment of the
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