The Resource Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan

Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan

Label
Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
Title
Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
Creator
Contributor
Subject
Language
eng
Summary
This thesis, using a computer simulation, studies the effect of the normal distribution assumption on the power of several many-sample location and scale test procedures. It also suggests an almost robust parametric test, namely numerical likelihood ratio test (NLRT) for non-normal situations. The NLRT is found better than all of the tests considered. Some real life data sets were used as examples
Cataloging source
VDU
Dewey number
519.5
Dissertation note
Thesis (Ph.D.)--Deakin University, Victoria, 2003
Index
no index present
Literary form
non fiction
Nature of contents
  • bibliography
  • theses
Label
Many-sample location and scale tests with quantile-function error distributions /by Azmeri Khan
Publication
Note
Submitted to the School of Information Technology of the Faculty of Science and Technology, Deakin University
Bibliography note
Bibliography: leaves 198-208
http://library.link/vocab/branchCode
  • glgt
Dimensions
30 cm
Extent
xxiv, 208 leaves
http://library.link/vocab/recordID
.b20698604
System control number
20698604dm

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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