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Relevant bibliographies by topics / Error type II / Dissertations / Theses

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Dissertations / Theses on the topic 'Error type II'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Dalile, Boushra. "Is the High Probability of Type II Error an Issue in Error Awareness ERP Studies?" Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12628.

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When researchers began addressing the electrophysiology of conscious error awareness more than a decade ago, the role of the error-related negativity (ERN), alongside the subsequently occurring error positivity (Pe), was an obvious locus of attention given the fact that they are taken as indices of cortical error processing. In contrast to the clear-cut findings that link the amplitude of the Pe to error awareness, the association between the ERN amplitude and error awareness is vastly unclear, with a range of studies reporting significant differences in the ERN amplitude with respect to error

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2

Evans, Lauren B., and L. Lee Glenn. "Type II Error and Evaluation of Kangaroo Care in Tertiary Neonatal Units." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/7461.

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3

Oduol, Vitalice K. (Vitalice Kalecha). "A generalised type-II hybrid ARQ scheme with soft-decision decoding /." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66095.

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4

Dai, Xiaogang. "Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution." TopSCHOLAR®, 2018. https://digitalcommons.wku.edu/theses/2447.

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The main purpose of this thesis is to compare the performance of the score test and the likelihood ratio test by computing type I errors and type II errors when the tests are applied to the geometric distribution and inflated binomial distribution. We first derive test statistics of the score test and the likelihood ratio test for both distributions. We then use the software package R to perform a simulation to study the behavior of the two tests. We derive the R codes to calculate the two types of error for each distribution. We create lots of samples to approximate the likelihood of type I

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5

Shu, Xiaohua. "BLOCK DESIGNS UNDER AUTOCORRELATED ERRORS." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/154927.

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Statistics<br>Ph.D.<br>This research work is focused on the balanced and partially balanced incomplete block designs when observations within blocks are correlated. The topic for this dissertation was motivated by a problem in pharmaceutical research, when several treatments are allocated to individuals, and repeated measurements are taken on each individual. In that case, there is correlation among the observations taken on the same individual. Typically, it is reasonable to assume that the observations within individual close to each other are highly correlated than observations that are far

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6

Powers-Prather, Bonnie Ann. "The Analysis of the Accumulation of Type II Error in Multiple Comparisons for Specified Levels of Power to Violation of Normality with the Dunn-Bonferroni Procedure: a Monte Carlo Study." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc331385/.

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The study seeks to determine the degree of accumulation of Type II error rates, while violating the assumptions of normality, for different specified levels of power among sample means. The study employs a Monte Carlo simulation procedure with three different specified levels of power, methodologies, and population distributions. On the basis of the comparisons of actual and observed error rates, the following conclusions appear to be appropriate. 1. Under the strict criteria for evaluation of the hypotheses, Type II experimentwise error does accumulate at a rate that the probability of accept

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7

Li, Wei. "Analyzing Gene Expression Data in Terms of Gene Sets: Gene Set Enrichment Analysis." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/79.

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The DNA microarray biotechnology simultaneously monitors the expression of thousands of genes and aims to identify genes that are differently expressed under different conditions. From the statistical point of view, it can be restated as identify genes strongly associated with the response or covariant of interest. The Gene Set Enrichment Analysis (GSEA) method is one method which focuses the analysis at the functional related gene sets level instead of single genes. It helps biologists to interpret the DNA microarray data by their previous biological knowledge of the genes in a gene set. GSEA

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8

Vaz, Marcos André Braz. "PODER ESTATÍSTICO E COEFICIENTE DE VARIAÇÃO EM EXPERIMENTOS COM BOVINOS DE CORTE." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/4386.

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This study was conducted to estimate power of tests in Analysis of Variance (ANOVA) in beef cattle experiments, determine sample size and classify the coefficient of variation. Data was collected from thesis and dissertations of the Program of Post-Graduation in Animal Science of Federal University of Santa Maria (PPGZ-UFSM) among the years of 1991 to 2012, in beef cattle production area using ANOVA. Power was estimated by assumption of non central F distribution to the alternative hypothesis in ANOVA. The number of replications for treatments was estimated by power of 80% and interval of [0,4

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9

Slack, Sean Edward. "Essays on categorical and universal welfare provision : design, optimal taxation and enforcement issues." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/15659.

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Part I comprises three chapters (2-4) that analyse the optimal combination of a universal benefit (B≥0) and categorical benefit (C≥0) for an economy where individuals differ in both their ability to work and, if able to work, their productivity. C is ex-ante conditioned on applicants being unable to work, and ex-post conditioned on recipients not working. In Chapter 2 the benefit budget is fixed but the test awarding C makes Type I and Type II errors. Type I errors guarantee B > 0 at the optimum to ensure all unable individuals have positive consumption. The analysis with Type II errors depend

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10

Crespi, Júnior Hugo. "Gerenciamento do ponto de corte para a concessão de crédito no varejo brasileiro." Universidade Presbiteriana Mackenzie, 2014. http://tede.mackenzie.br/jspui/handle/tede/940.

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Made available in DSpace on 2016-03-15T19:32:48Z (GMT). No. of bitstreams: 1 Hugo Crespi Junior.pdf: 1552051 bytes, checksum: 34b1ca02581c6a8240a8bd4702d15a71 (MD5) Previous issue date: 2014-02-14<br>One of the most important ways to finance consumers in the Brazilian market is the consumer credit offered in store. Provided by independent or captive finance companies, the consumer credit is normally granted or denied without taking into account its effect on the retailer s profitability. Denying credit to finance a high profit margin product is more damaging to the companies profits than if

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11

Björkvall, Emil, and Tim Engqvist. "Faktorer som påverkar beslutsfattande hos svenska riskkapitalbolag : En kvalitativ flerfallstudie om likheter och kontraster av investeringsutfall." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85098.

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Sverige är beroende av nystartade företag och entreprenörer för att finansiera landets välstånd. Riskkapitalbolag innehar ofta en betydande roll för de nya företagen när verksamheten ska utvecklas eller expandera. Bolagen assisterar de nya företagen med ett brett spektrum av nyckelaktiviteter som finansiering, operativt arbete, strategi eller kontaktnät. Tidigare studier visar att riskkapitalfinansierade bolag både växer snabbare och lyckas oftare. Samtidigt visar forskningen att riskkapitalbolag präglas av stort risktagande och övermod vid sina investeringar. Emellertid finns mindre djupgåend

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12

Yue, Xiaohui. "Detecting Rater Centrality Effect Using Simulation Methods and Rasch Measurement Analysis." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/28423.

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This dissertation illustrates how to detect the rater centrality effect in a simulation study that approximates data collected in large scale performance assessment settings. It addresses three research questions that: (1) which of several centrality-detection indices are most sensitive to the difference between effect raters and non-effect raters; (2) how accurate (and inaccurate), in terms of Type I error rate and statistical power, each centrality-detection index is in flagging effect raters; and (3) how the features of the data collection design (i.e., the independent variables including

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13

"Type I and type II error in hierarchical analysis of variance using logistic regression for dichotomous dependent variables." Tulane University, 1992.

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Hierarchical models seek to explain relations between individual level and aggregate level data. A new method of analysis for hierarchical data in which the outcome variable is dichotomous has been developed (Pullum, 1991). This method partitions the variance into a within-cluster component and a between-cluster component, and then uses logistic regression models to explain the variance in the two components in a unified equation The question arises as to how the number of contexts and the number of individuals within those contexts affect the power of Pullum's model when there are different d

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14

Lin, Chang-Wang, and 林正旺. "The Effects of Shortage Cost to The Imperfect EMQ Model under Type II Inspection Error." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/06842041377299612249.

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15

"Statistical validation of limiting similarity and negative co-occurrence null models : Extending the models to gain insights into sub-community patterns of community assembly." Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-09-1715.

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Competition between species is believed to lead to patterns of either competitive exclusion or limiting similarity within ecological communities; however, to date the amount of support for either as an outcome has been relatively weak. The two classes of null model commonly used to assess co-occurrence and limiting similarity have both been well studied for statistical performance; however, the methods used to evaluate their performance, particularly in terms of type II statistical errors, may have resulted in the underreporting of both patterns in the communities tested. The overall purpose o

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16

Hurley, Kevin. "Statistical Power in Ergonomic Intervention Studies." Thesis, 2010. http://hdl.handle.net/10012/5080.

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As awareness of the costs of workplace injury and illness continues to grow, there has been an increased demand for effective ergonomic interventions to reduce the prevalence of musculoskeletal disorders (MSDs). The goal of ergonomic interventions is to reduce exposures (mechanical and psychosocial); however there is conflicting evidence about the impact of these interventions as many studies produce inconclusive or conflicting results. In order to provide a clearer picture of the effectiveness of these interventions, we must find out if methodological issues, particularly statistical power, a

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