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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.
41

Behrens-Fisher problem

Qureshi, Zia-ul-Haq. January 1968 (has links)
No description available.
42

The exact distribution of Bartlett's criterion for special cases /

Blanchette, Luc January 1977 (has links)
No description available.
43

The power function of some one-sided variations of the Kolmogorov-Smirnov statistics /

Alvo, Mayer January 1968 (has links)
No description available.
44

Random distributions and their application to direct-interaction approximation

Matos, Pablo 01 July 2002 (has links)
No description available.
45

Non-congruence of statistical distributions: how different is different?

Applegate, Terry Lee. January 1978 (has links)
Call number: LD2668 .T4 1978 A65 / Master of Science
46

Maintenance of partial-sum-based histograms

Kan, Kin-fai., 簡健輝. January 2002 (has links)
published_or_final_version / abstract / toc / Computer Science and Information Systems / Master / Master of Philosophy
47

Invariant limiting shape distributions for some sequential rectangularmodels

陳冠全, Chen, Koon-chuen. January 1998 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
48

Testing of homogeneity in distributions with ordered categories.

January 1995 (has links)
by Lee Chi-ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 103-104). / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Three Underlying Distributions --- p.6 / Chapter 2.1 --- Exponential distribution --- p.8 / Chapter 2.1.1 --- Estimation of Thresholds --- p.8 / Chapter 2.1.2 --- Estimation of Parameter --- p.11 / Chapter 2.1.3 --- Simulation Study --- p.13 / Chapter 2.2 --- Normal distribution --- p.24 / Chapter 2.2.1 --- Estimation of Thresholds --- p.24 / Chapter 2.2.2 --- Estimation of Parameter --- p.26 / Chapter 2.2.3 --- Simulation Study --- p.29 / Chapter 2.3 --- Weibull distribution --- p.42 / Chapter 2.3.1 --- Estimation of Thresholds --- p.42 / Chapter 2.3.2 --- Estimation of Parameter --- p.44 / Chapter 2.3.3 --- Simulation Study --- p.46 / Chapter 3 --- Goodness-of-fit Test --- p.60 / Chapter 3.1 --- Test for the Exponential distribution --- p.63 / Chapter 3.2 --- Test for the Normal distribution --- p.66 / Chapter 3.3 --- Test for the Weibull distribution --- p.68 / Chapter 3.4 --- Implication --- p.70 / Chapter 3.5 --- An Artificial Example --- p.72 / Chapter 3.5.1 --- Case 1 (s= 3) --- p.72 / Chapter 3.5.2 --- Case 2 (s= 4) --- p.80 / Chapter 4 --- Real Data Illustration --- p.87 / Chapter 4.1 --- Test for the Exponential distribution --- p.90 / Chapter 4.2 --- Test for the Normal distribution --- p.91 / Chapter 4.3 --- Test for the Weibull distribution --- p.92 / Chapter 4.4 --- Inferences from the Exponential distribution --- p.94 / Chapter 4.5 --- Inferences from the Normal distribution --- p.95 / Chapter 4.6 --- Inferences from the Weibull distribution --- p.98 / Chapter 5 --- Conclusion --- p.101 / Bibliography --- p.103
49

Estimation of the common mean of two normal disributions

Yuan, Shi-Hwa January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
50

A data-driven bandwidth selector for estimating conditional density function.

January 2003 (has links)
Yim Tsz-ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 47-49). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Local Polynomial Modeling --- p.4 / Chapter 2.1 --- Local Polynomial Fitting --- p.4 / Chapter 2.1.1 --- Methodology --- p.4 / Chapter 2.1.2 --- The kernel K --- p.6 / Chapter 2.1.3 --- The bandwidth h --- p.7 / Chapter 2.1.4 --- The order p --- p.10 / Chapter 2.2 --- Estimation of Conditional Density --- p.11 / Chapter 3 --- Bandwidth Selection --- p.14 / Chapter 3.1 --- Rule of Thumb --- p.14 / Chapter 3.2 --- Bootstrap Bandwidth Selection --- p.15 / Chapter 3.3 --- A Cross-Validation Method --- p.16 / Chapter 4 --- A Theoretical Justification --- p.18 / Chapter 4.1 --- Proof of (4.1) --- p.19 / Chapter 4.2 --- Proof of (4.2) --- p.22 / Chapter 5 --- Simulation Studies --- p.25 / Chapter 6 --- Real Data Applications --- p.38 / Chapter 6.1 --- Case Study With Canadian Lynx Data.............................. --- p.38 / Chapter 6.2 --- Case Study With U.S. Twelve-Month Treasury Bill Data.......... --- p.41 / Chapter 7 --- Conclusions --- p.45 / Bibliography --- p.47

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