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Books on the topic 'Distributed Sequential Hypothesis Testing'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Gül, Gökhan. Robust and Distributed Hypothesis Testing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49286-5.

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2

Li, Shang. Cooperative Sequential Hypothesis Testing in Multi-Agent Systems. [New York, N.Y.?]: [publisher not identified], 2017.

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3

Sequential tests. Leipzig, Germany: B.G. Teubner, 1985.

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4

Siegmund, David. Sequential analysis: Tests and confidence intervals. New York: Springer-Verlag, 1985.

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5

Siegmund, David. Sequential analysis: Tests and confidence intervals. New York: Springer-Verlag, 2010.

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6

Sequential analysis: Tests and confidence intervals. New York: Springer-Verlag, 1985.

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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. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.

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Abstract:

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 application of criteria in conditions of violation of standard assumptions is considered. Estimates of the power of the criteria are given, which allows you to navigate when choosing the most preferred criteria. Following the recommendations will ensure the correctness and increase the validity of statistical conclusions when analyzing data. It is intended for specialists who are interested in the application of statistical methods for the analysis of various aspects and trends of the surrounding reality and who are in contact with the processing of experimental results, the need for data analysis in their activities. It will be useful for engineers, researchers, specialists of various profiles (doctors, biologists, sociologists, economists, etc.) who face the need for statistical analysis of experimental results in their activities. It will also be useful for university teachers, graduate students and students.

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8

Tartakovsky, Alexander. Sequential Change Detection and Hypothesis Testing. Taylor & Francis Group, 2021.

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9

Gül, Gökhan. Robust and Distributed Hypothesis Testing. Springer, 2018.

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10

Gül, Gökhan. Robust and Distributed Hypothesis Testing. Springer International Publishing AG, 2017.

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11

Basseville, Michele, Alexander Tartakovsky, and Igor Nikiforov. Sequential Analysis: Hypothesis Testing and Changepoint Detection. Taylor & Francis Group, 2014.

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12

Sequential Analysis Hypothesis Testing And Changepoint Detection. CRC Press, 2012.

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13

Basseville, Michele, Alexander Tartakovsky, and Igor Nikiforov. Sequential Analysis: Hypothesis Testing and Changepoint Detection. Taylor & Francis Group, 2014.

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14

Kachiashvili, Karlos J., and Kartlos Kachiashvili. Constrained Bayesian Methods of Hypotheses Testing: A New Philosophy of Hypotheses Testing in Parallel and Sequential Experiments. Nova Science Publishers, Incorporated, 2018.

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15

Constrained Bayesian Methods of Hypotheses Testing: A New Philosophy of Hypotheses Testing in Parallel and Sequential Experiments. New York, USA: Nova Science Pub Inc., 2018.

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16

Tartakovsky, Alexander. Sequential Change Detection and Hypothesis Testing: General Non-I. I. D. Stochastic Models and Asymptotically Optimal Rules. Taylor & Francis Group, 2019.

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17

Tartakovsky, Alexander. Sequential Change Detection and Hypothesis Testing: General Non-I. I. D. Stochastic Models and Asymptotically Optimal Rules. Taylor & Francis Group, 2019.

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18

Tartakovsky, Alexander. Sequential Change Detection and Hypothesis Testing: General Non-I. I. D. Stochastic Models and Asymptotically Optimal Rules. Taylor & Francis Group, 2019.

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19

Sequential Change Detection and Hypothesis Testing: General Non-I. I. D. Stochastic Models and Asymptotically Optimal Rules. Taylor & Francis Group, 2019.

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20

Govindarajulu, Zakkula. The Sequential Statistical Analysis of Hypothesis Testing, Point and Interval Estimation, and Decision Theory (American Series in Mathematical and Management Sciences). American Sciences Press, Inc., 1987.

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