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Introduction to stochastic processes with special reference to methods and applications

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Xehetasun bibliografikoak
Egile nagusia:	Bartlett, M S
Formatua:	Printed Book
Hizkuntza:	English
Argitaratua:	London Cambridge University Press 1966
Edizioa:	2nd ed.
Gaiak:	Statistical Analysis A Computer Oriented Approach > Statistical Analysis in Educational Research > Statistical Approach to Social Measurement > Statistical analysis > Stochastic processes

Antzeko izenburuak

Stochastic processes
nork: Srinivasan, S K
Argitaratua: (1976)

Stochastic processes and their application: Queueing models with rest to the server after serving a random number of units.
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Elementary probability theory with stochastic process
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Introduction to probabilityand sochastic processes
nork: Melsa, James L
Argitaratua: (1973)

Introduction to stochastic control theory
nork: Astrom, Karl J
Argitaratua: (1970)

Stochastic differential equations and applications [proceedings]
nork: Mason, J David
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Statistical methods
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Statistical methods
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Statistical methods
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Markov processes and learning models
nork: Norman, M. Frank
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Probability theory, stochastic processes and their applications: Probabilistic analysis of some queueing and inventory models.
nork: Jacob, M J
Argitaratua: (1987)

Probability theory, stochastic processes and their applications: Probabilistic analysis of some queueing and inventory models.
nork: Jacob, M J
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Linear statistical inference and its applications
nork: Radhakrishnan, Rao C
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Linear statistical inference and its applications
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Linear statistical inference and its application
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Point processes and queueing problems
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Statistical methods
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Introduction to Statistical analysis
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Introduction statistical analysis
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Introduction to the theory of stationary random functions
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Basic statistical methods
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Basic statistical methods
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Introduction to statistical methods
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Spectral analysis and its applications
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Statistical methods/6th ed.
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Stochastic models in reliability theory
nork: Osaki, S
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general point process
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Statistical Approach to Social Measurement
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Nonparametric statistical inference
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Statistical analysis and data display: an intermediate course with examples in S-plus, R and SAS
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The analysis of time series: theory and practice
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Selecting and ordering populations: a new statistical methodology
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Statistical concepts: a basic program
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Markov chains
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Approximating countable Markov chains
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Attribute Sampling; Tables and explanations etc.
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Discrete discriminant analysis
nork: Goldstein, Matthew
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Dynamic regression: theopry and algorithms
nork: Pesran, M H

Optimal stopping rules
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Argitaratua: (1976)

analysis of time series: theory and practice
nork: Chatfield, C.