Preinvestment planning for capacity expansion A multi- location dynamic model
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TextLanguage: English Series: USA, Agency for International Development (New Delhi) Publication)Publication details: New Delhi USA Agency for International Development India 1970Description: x,223p. Bibliography p 218-23 cmSubject(s): DDC classification: - X:75:(B), L0
General Books
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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General Books
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Ratan Tata Library | Ratan Tata Library | X:75:(B) L0 (Browse shelf(Opens below)) | Available | RT0059149 |
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1
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Analytical methods for Markov semigroups.
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Analytical treatment of one-dimensional Markov processes
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Applied bayesian statistics
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Applied probability and queues
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Applied semi-Markov processes
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Applied semi-Markov processes.
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Applied stochastic processes
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Approximating countable Markov chain
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Approximating countable Markov chains
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Bayesian analysis of infectious diseases covid-19 and beyond
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Bayesian decision problems and markov chains
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Bayesian models for categorical data
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Bayesian models: a statistical primer for ecologists
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Bayesian psychometric modeling
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Boundary theory for symmetric Markov processes
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17
Boundary value problems and Markov processes
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18
Coding for Markov sources
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19
Computational bayesian statistics: An introduction
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20
Computational intelligence: a methodological introduction
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21
Continuous-time markov decision processes:theory and applications
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22
Continuous-time Markov-modulated chains in operations research
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23
Controlled markov processes
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Convex and stochastic optimization
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25
Course in applied stochastic processes
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26
Course in applied stochastic processes
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27
Dealing with endogeneity in regression models with dynamic coefficients
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Denumerable Markov chains
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Denumerable Markov chains
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30
Diffusion processes and partial differential equations
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31
Diffusions, Markov processes and margtingales
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32
Discrete Markov chains
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33
Discrete probability models and methods: Probability on graphs and trees markov chains and random fields, entropy and coding
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34
Discrete stochastic processes and applications
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35
Discrete-time Markov chains: two-time-scale methods and applications
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36
Discretization and MCMC convergence assessment
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37
Discretization and MCMC convergence assessment
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38
Dynamic optimization: Deterministic and stochastic models
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39
Elements of probability and statistics: an introduction to probability with de finetti's approach and to bayesian statistics
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Elements Of Stochastic Modelling
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41
Essentials of time series for financial applications
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Excursions of Markov processes
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43
Finite dynamic programming:An aaprach to finite markov decsion processes
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First course in probability and markov chains
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First look at stochastic processes
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Foundation of queueing theory
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Gaussian Markov random fields: theory and applications
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General irreducible markov chains and non-negative operators
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General theory of markov processes
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Preinvestment planning for capacity expansion
APA
Erlenkotter Donald, . (1970). Preinvestment planning for capacity expansion. New Delhi: USA Agency for International Development India.
Chicago
Erlenkotter Donald, . 1970. Preinvestment planning for capacity expansion. New Delhi: USA Agency for International Development India.
Harvard
Erlenkotter Donald, . (1970). Preinvestment planning for capacity expansion. New Delhi: USA Agency for International Development India.
MLA
Erlenkotter Donald, . Preinvestment planning for capacity expansion. New Delhi: USA Agency for International Development India. 1970.
