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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Simulation and inference of aggregated Markov processes

葉錦元, Yip, Kam-yuen, William. January 1994 (has links)
published_or_final_version / Applied Statistics / Master / Master of Social Sciences
12

Some results on higher order Markov Chain models

郭慈安, Kwok, Chi-on, Michael. January 1988 (has links)
published_or_final_version / Statistics / Master / Master of Philosophy
13

Quantum chains

Bose, A. (Amitava) January 1968 (has links)
No description available.
14

Techniques d'estimation pour les chaînes de Markov y compris les chaînes avec matrice causative constante

Dansereau, Maryse. January 1974 (has links)
No description available.
15

Large-scale programming in Markov decision processes

Contreras, Luis Eduardo 08 1900 (has links)
No description available.
16

Curve fitting by Markov transients

Bryant, Douglas John 05 1900 (has links)
No description available.
17

Compatibility of Markov chain developments

Flournoy, Selwyn Lester 05 1900 (has links)
No description available.
18

Maximum likelihood estimation for Markov renewal processes

Solvason, Diane Lynn January 1977 (has links)
No description available.
19

Functions of Markov chains

Nair, G. Gopalakrishnan January 1969 (has links)
No description available.
20

On the accumulated sojourn time in finite-state Markov processes / Lucia Falzon.

Falzon, Lucia January 1997 (has links)
Bibliography: leaves 80-82. / vi, 82 leaves ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / The subject of this thesis is the joint probability density of the accumulated sojourn time in each state of a Markov process when the initial state is known. / Thesis (Ph.D.)--University of Adelaide, Dept. of Applied Mathematics, 1998?

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