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Contributions to chi-squared tests with survey data.Roberts, Georgia Ruth, Carleton University. Dissertation. Psychology. January 1985 (has links)
Thesis (Ph. D.)--Carleton University, 1985. / Also available in electronic format on the Internet.
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The Chi-square test when the expected frequencies are less than 5鄭啟豪, Cheng, Kai-ho. January 2007 (has links)
published_or_final_version / abstract / Computer Science / Master / Master of Philosophy
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Intrusion detection via an adaptive digital predictor chi-square test combinationSumantri, Raden Djafar January 2010 (has links)
Photocopy of typescript. / Digitized by Kansas Correctional Industries
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The Chi-square test when the expected frequencies are less than 5Cheng, Kai-ho. January 2007 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2008. / Also available in print.
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Donsker classes, Vapnik-Chervonenkis classes, and chi-squared tests of fit with random cellsDurst, Mark Joseph January 1980 (has links)
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE. / Bibliography: leaves 91-93. / by Mark Joseph Durst. / Ph.D.
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A chi-square goodness-of-fit test for censored data /Habib, Mohamed Gamal Hassan. January 1981 (has links)
Thesis (Ph. D.)--Oregon State University, 1981. / Typescript (photocopy). Includes bibliographical references (leaves 71-73). Also available via the World Wide Web.
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The Chi Square Approximation to the Hypergeometric Probability DistributionAnderson, Randy J. (Randy Jay) 08 1900 (has links)
This study compared the results of his chi square text of independence and the corrected chi square statistic against Fisher's exact probability test (the hypergeometric distribution) in contection with sampling from a finite population. Data were collected by advancing the minimum call size from zero to a maximum which resulted in a tail area probability of 20 percent for sample sizes from 10 to 100 by varying increments. Analysis of the data supported the rejection of the null hypotheses regarding the general rule-of-thumb guidelines concerning sample size, minimum cell expected frequency and the continuity correction factor. it was discovered that the computation using Yates' correction factor resulted in values which were so overly conservative (i.e. tail area porobabilities that were 20 to 50 percent higher than Fisher's exact test) that conclusions drawn from this calculation might prove to be inaccurate. Accordingly, a new correction factor was proposed which eliminated much of this discrepancy. Its performance was equally consistent with that of the uncorrected chi square statistic and at times, even better.
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Strategic alliances in the South African independent 3 star and above hotelsNasser, Walid Samir Samy Moheb Abdelrahman 29 July 2012 (has links)
This research was conducted to identify whether South African 3 star and above hotels are interested in forming alliances. The objective of this study was to group South African independent 3 star and above hotels on the alliance framework continuum, namely; cooperation, collaboration, coordination and coadunation; and to identify whether South African independent 3 star and above hotels are interested to progress from one simple form of alliance to the next complex, formal type of alliance. Hypotheses were proposed to determine the significance of the differences in preference of South African 3 star and above independent hotels. Thus, this study is descriptive in nature, to test the proposed hypotheses. An extensive investigation into the relevant literature was done. An empirical study was also conducted and the measuring instrument consisted of a selfadministered questionnaire. The population selected consisted of managers of these South African 3 star and above independent hotels. The major findings included: South African independent 3 star and above hotels seem to prefer niche personality and potential non-financial relationship, while they try to avoid economic and cultural integration with a partner firm and not interested in shared management control with the partner firm. Besides, four factors confirmed the alliance continuum developed by Bailey and Koney (2000), namely; cooperation, coordination, collaboration and coadunation. Friedman’s test indicated that there is significant difference among the different dimensions of alliance formation, namely; cooperation, collaboration, coordination and coadunation and that South African independent 3 star and above hotels are interested to form cooperation form of alliances mostly, followed by coordination form of alliances. South African independent 3 star and above hotels are neutral on whether to form collaboration type of alliances and they are not interested to involve in the coadunation form of alliances. Chi-square test indicated that there is no significant difference on the opinion of the respondents on whether the hotel they work for needs to progress from simpler form of alliances into more formal and complex format of alliances. However, those who preferred that their hotel has to progress from simpler form of alliance are higher in number than those who did not prefer. It was, inter alia, recommended that as South African 3 star and above hotels choose lower form of alliance, value chains seem the most applicable form of alliance. Hotels could share a name, reservation information and some basic IT facilities (point of sale IT reservation equipment and back office IT equipments). Finally, the study concludes by recommending that South African independent 3 star and above hotels should take alliances as an option for growth and justification of expenditures and decide the level of alliance continuum they want to engage in. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted
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Sequential analysis of categorical dataKent, James Richard January 1962 (has links)
Using a variance-stabilizing transformation of the non-centralχ² distribution and Wald's sequential probability ratio test, procedures have been developed for sequential analysis of categorical data group-wise. These procedures' enables (i) a simple hypothesis to be used for the alternative hypothesis instead of the composite hypothesis commonly used in goodness-of-fit tests, contingency tables, and Mood's non-parametric generalization of the one-way analysis of variance, (ii) calculation or a power function, and (iii) calculation of the greatest expected ASR's and the non-centrality parameter requiring this sample size in addition to the ASN's when the null or alternative hypothesis is true. Application of these procedures to the three types of analysis given in (i) give the right decisions with sample sizes near the calculated ASN’s.
The ASN's for when the expected number of groups equals one compare favorably with those obtained by Jackson (1959) using Bhate’s conjecture and those obtained empirically by Appleby (1960). In general, the sequential approach will require smaller sample sizes than fixed sampling if the non-centrality parameter is equal to or less than the group size and the group size is large enough to meet minimum expectation requirements. / M.S.
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The Comparative Effects of Varying Cell Sizes on Mcnemar's Test with the Χ^2 Test of Independence and T Test for Related SamplesBlack, Kenneth U. 08 1900 (has links)
This study compared the results for McNemar's test, the t test for related measures, and the chi-square test of independence as cell sized varied in a two-by-two frequency table. In this study. the probability results for McNemar's rest, the t test for related measures, and the chi-square test of independence were compared for 13,310 different combinations of cell sizes in a two-by-two design. Several conclusions were reached: With very few exceptions, the t test for related measures and McNemar's test yielded probability results within .002 of each other. The chi-square test seemed to equal the other two tests consistently only when low probabilities less than or equal to .001 were attained. It is recommended that the researcher consider using the t test for related measures as a viable option for McNemar's test except when the researcher is certain he/she is only interested in 'changes'. The chi-square test of independence not only tests a different hypothesis than McNemar's test, but it often yields greatly differing results from McNemar's test.
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