QA274.75 .V37 1980
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Lectures on diffusion problems and partial differential equations / |
1 |
QA274.755 .K36 2023
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Analysis and design of Markov jump discrete systems / |
1 |
QA274.755 .L83 2023
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Robust control for discrete-time Markovian jump systems in the finite-time domain / |
1 |
QA274.76
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Asymptotic properties of permanental sequences : related to birth and death processes and autoregressive Gaussian sequences / |
1 |
QA274.76 .D96 1994
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An introduction to branching measure-valued processes / |
1 |
QA274.76 .G669 2018
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Controlled Branching Processes. |
1 |
QA274.76 .K477 2017
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Discrete time branching processes in random environment / |
1 |
QA274.76 .L5 2023eb
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Measure-valued branching Markov processes / |
1 |
QA274.76 .P47 1995
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On the martingale problem for interactive measure-valued branching diffusions / |
1 |
QA274.8
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Difference and differential equations with applications in queueing theory / The theory of queuing systems with correlated flows / |
2 |
QA274.8 .I24 2011eb
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Fundamentals of stochastic networks / |
1 |
QA274.9
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Non-Gaussian selfsimilar stochastic processes / |
1 |
QA274.9 .E43 2002
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Selfsimilar processes / |
1 |
QA274.9 .E43 2002eb
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Selfsimilar processes / |
1 |
QA275
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Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / The mathematics of errors / |
2 |
QA275 .A383 2020
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Advanced Issues in PLS Path Modelling New Guidelines for Business and Information Systems Research. |
1 |
QA275 .A47 1989
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Statistical analysis of measurement error models and applications : proceedings of the AMS-IMS-SIAM joint summer research conference held June 10-16, 1989, with support from the National Science Foundation and the U.S. Army Research Office / |
1 |
QA275 .A47 1989eb
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Statistical analysis of measurement error models and applications : proceedings of the AMS-IMS-SIAM joint summer research conference held June 10-16, 1989, with support from the National Science Foundation and the U.S. Army Research Office / |
1 |
QA275 .B41
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Introduction to the theory of error. |
1 |
QA275 .B43 2011eb
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A student's guide to data and error analysis / |
1 |