Relevant bibliographies by topics / Analysis of Varience (ANOVA)

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Academic literature on the topic 'Analysis of Varience (ANOVA)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Analysis of Varience (ANOVA)"

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Dr. U. K. Kulkarni, Ranju T. Nair,. "A STUDY OF ATTITUDE AND MOTIVATION OF ENGLISH LANGUAGE LEARNERS AT SECONDARY SCHOOL STUDENTS OF HYDERABAD-KARNATAKA REGION." Psychology and Education Journal 58, no. 1 (2021): 4786–93. http://dx.doi.org/10.17762/pae.v58i1.1640.

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This study was attempted to investigate the attitude and motivation of English Language Learners at secondary school students of Hyderabad-Karnataka region. A standardized questionnaire was administered in the form of survey to 900 IX standard students from Hyderbad-Karnataka region (Bellary, Bidar, Kalabugi, Koppal,Raichur and Yadgir) to collect data regarding their motivation and attitude towards learning English Language.The collected data was statistically analyzed using suitable statistical methods like mean,standard deviation, t test,one way analysis of varience (ANOVA). The result revealed that there is a significant difference between the gender and locality of the school,type of school,type of management. This study recommended that the relevant language improvement programs and activities are also discussed in accordance with the students language difficulties as communicated in the open-ended questions to increase their motivation and attitude in English language.Hence it was concluded that more classroom activities in the study of English enhance pupils attitude and motivation to learn English
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Khoirul, Ahmad, and Edya Moelia Lubis. "PENAMBAHAN JUS DAUN SIRIH (Piper betle Linn) PADA RANSUM AYAM PETELUR TERHADAP PENURUNAN KOLESTEROL TELUR." AVES: Jurnal Ilmu Peternakan 11, no. 1 (2017): 7. http://dx.doi.org/10.35457/aves.v11i1.322.

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The purpose of this study was to determine the volume increase in betel leaf juice ration of laying hens egg cholesterol reduction. This study uses layer laying hens period of 250 heads aged 50 weeks from Isa Brown strain. The method used is an experimental method that consists of five treatments and five repetitions, and each repeat consists of 10 of chicken with P0 treatment (basal feed), P1 (basal feed + 5 ml juice of betel leaves), P2 (basal feed + 7.5 ml juice of betel leaves), P3 (basal feed + 10 ml juice of betel leaves), and P4 (basal feed + 12.5 ml juice of betel leaves). Data using analysis with Analysis of Varience (ANOVA) if significant level using by Duncan test. The results showed that addition of betel leaf juice in the diet of laying chickens highly significant effect (P <0.01) to decrease cholesterol eggs with the best volume is 12.5 ml (P4) as shown by the higher volume of betel leaf juice added to feed laying hens is the higher the tendency of decrease cholesterol eggs. Recommended the addition of juice of betel leaves effectively using 12.5 ml in volume decrease cholesterol eggs.Keywords: juice of betel leaf, laying hens and egg cholesterol.
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Khoirul, Ahmad, and Edya Moelia Lubis. "PENAMBAHAN JUS DAUN SIRIH (Piper betle Linn) PADA RANSUM AYAM PETELUR TERHADAP PENURUNAN KOLESTEROL TELUR." AVES: Jurnal Ilmu Peternakan 11, no. 1 (2017): 7. http://dx.doi.org/10.30957/aves.v11i1.322.

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The purpose of this study was to determine the volume increase in betel leaf juice ration of laying hens egg cholesterol reduction. This study uses layer laying hens period of 250 heads aged 50 weeks from Isa Brown strain. The method used is an experimental method that consists of five treatments and five repetitions, and each repeat consists of 10 of chicken with P0 treatment (basal feed), P1 (basal feed + 5 ml juice of betel leaves), P2 (basal feed + 7.5 ml juice of betel leaves), P3 (basal feed + 10 ml juice of betel leaves), and P4 (basal feed + 12.5 ml juice of betel leaves). Data using analysis with Analysis of Varience (ANOVA) if significant level using by Duncan test. The results showed that addition of betel leaf juice in the diet of laying chickens highly significant effect (P <0.01) to decrease cholesterol eggs with the best volume is 12.5 ml (P4) as shown by the higher volume of betel leaf juice added to feed laying hens is the higher the tendency of decrease cholesterol eggs. Recommended the addition of juice of betel leaves effectively using 12.5 ml in volume decrease cholesterol eggs.Keywords: juice of betel leaf, laying hens and egg cholesterol.
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Jeanita, Winny, Dewa Ketut Meles, Widjiati WIdjiati, Iwan Sahrial Hamid, Epy Muhammad Luqman, and Arimbi Arimbi. "PENGARUH PEMBERIAN EKSTRAK KULIT PISANG KEPOK (Musa acuminata) TERHADAP GAMBARAN HISTOPATOLOGI BRONKUS DAN VENA PULMONALIS MENCIT (Mus musculus) JANTAN YANG DIPAPAR ASAP ROKOK." Journal of Basic Medical Veterinary 9, no. 1 (2020): 7. http://dx.doi.org/10.20473/.v9i1.21089.

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This research aimed to attest the effect of Kepok banana (Musa acuminata) peel extract on the histopathology of bronchus and pulmonary veins in male mice (Mus musculus) exposed by cigarette smoke. The 24 experimental male mice were divided into six groups with each treatment having four replicate. All the groups, except K- as a control group, was treated with cigarette smoke for 14 days. After that, K- and K+ was treated with CMC-Na 1%, KO was treated with ascorbic acid 13 mg/kgBW, P1 was treated with Kepok banana peel extract 14 mg/kgBW, P2 was treated with Kepok banana peel extract 28 mg/kgBW, and P3 was treated with Kepok banana peel extract 56 mg/kgBW for 14 days. The data of the thickness of bronchial epithelium and the diameter of pulmonary veins were analyzed using ANOVA (Analysis of Varience) with significance p<0,05 and continued with Post- hoc Tukey. The result of the thickness of bronchial epithelium showed that K+ had the highest thickening (431,83 + 9,71 µm) and significant differences (P<0,05) with all the groups. The result of P3 showed the lowest thickening of bronchial epithelium (170,84 + 2,70 µm). The result of pulmonary veins diameter showed that K+ had the narrowest diameter (525,64 + 16,61 µm) and significant differences (p<0,05) with all the groups. The result of P3 showed the lowest diameter narrowing of pulmonary veins (718,10 + 9,64 µm). The conclussion of this research are Kepok banana peel extract able to decreased the thickness of bronchial epithelium and the narrowing of pulmonary veins diameter in male mice with effective dose 28 mg/ kgBW.
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Ahmed, S., MN Islam, MH Rashid, MM Islam, and AKM Masum. "Evaluation of dahi collected from Netrokona district in Bangladesh." Bangladesh Journal of Animal Science 45, no. 2 (2016): 60–65. http://dx.doi.org/10.3329/bjas.v45i2.29812.

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The aim of the present research work was to make a comparative study between the quality of dahi available in Netrokona district of Bangladesh and dahi prepared in the laboratory by following standard manufacturing process. For this purpose dahi (control) was prepared in Dairy Technology Laboratory of the Department of dairy science, Bangladesh Agricultural University, Mymensingh. The Laboratory made dahi was designated as A type dahi. On the other hand four different types of dahi sample were collected from four different sweetmeat shop of Netrokona district. One sample was taken from each sweetmeat shop and three replications were made for each sample. Source of dahi samples were Khan Mistanno Vandar; Krisno Mistanno Vandar; Shankar Mistanno Vandar; Misti Mokh, These samples were designated as B, C, D and E respectively. Parameters used to monitor the quality of dahi were physical, chemical and microbiological. Collected data were compiled and statistically analyzed by using one way analysis of varience (ANOVA) test by using MSTAT statistical package. It was observed that total physical score for A, B, C, D and E type of samples were 93.21±0.51, 86.98,±0.63, 78.99±0.62, 76.47±0.25 and 83.89±0.44 respectively. Statistical analysis showed that total score for A type (Lab. made) dahi was significantly (p >0.01) higher than the total score of other dahi samples. Chemical analysis showed that average fat, protein, total solids, solids not fat, ash and lactose content of A type dahi were significantly ( p > 0.01) higher than that of the B, C. D and E type dahi samples collected from different shops of Netrokona district. Microbiological analysis showed that total bacterial count, yeast and mould count of B, C, D and E type dahi samples were also significantly (p > 0.01) higher than A type dahi which was prepared in the laboratory. Although total number of coliform bacteria was lower in A type sample but there was no significant difference within different dahi samples. Judging from the results of all parameters studied it was observed that dahi samples collected from Netrokona district was inferior to dahi prepared in the Laboratory. It was also observed that quality of other four dahi samples of Netrokona was nearly similar.Bang. J. Anim. Sci. 2016. 45 (2): 60-65
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Zwanenburg, Gooitzen, Huub C. J. Hoefsloot, Johan A. Westerhuis, Jeroen J. Jansen, and Age K. Smilde. "ANOVA-principal component analysis and ANOVA-simultaneous component analysis: a comparison." Journal of Chemometrics 25, no. 10 (2011): 561–67. http://dx.doi.org/10.1002/cem.1400.

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Banafanu, Martina, Gergonius Fallo, and Blasius Atini. "Pemanfaatan Kompos Kirinyuh (Chormolaena Odorata L.) Menggunakan Aktivator EM4 dan Aplikasinya Pada Tanaman Cabai Merah (Capsicum Annum L.)." Bio-Edu: Jurnal Pendidikan Biologi 3, no. 3 (2018): 140–48. http://dx.doi.org/10.32938/jbe.v3i3.689.

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Cabai merah (Capsicum annum L.) merupakan salah satu bumbu masakan yang populer dikalangan masyarakat Indonesia termasuk di Propinsi NTT. Salah satu upaya untuk meningkatkan pertumbuhan produksi cabai merah adalah dengan menggunakan pupuk organik yang dapat memperbaiki struktur tanah. Tujuan penelitian ini yaitu untuk mengetahui pertumbuhan vegetatif tanaman cabai merah menggunakan pupuk kompos kirinyuh dengan aktivator EM4. Penelitian ini dilakukan bulan Mei-Juli di lahan petani Desa Subun Kec. Insana Barat Kab. Timor Tengah Utara (TTU). Rancangan percobaan yang digunakan yaitu Rancangan Acak kelompok (RAK) 1 Faktor yaitu pemupukan dengan perlakuan (1) Tanpa Pupuk (D0), (2) Pupuk Kimia (D1), (3) Pupuk Kirinyuh (D2) dan pupuk Kirinyuh + EM4 (D3). Unit percobaan diulang sebanyak 3 kali sehingga bedeng percobaan sebanyak 12 unit. Ukuran tiap bedeng perlakuan ialah 2 m x 2 m. Jarak tanam cabai merah ialah 30 cm x 30 cm. Setiap bedeng perlakuan diambil 6 tanaman contoh untuk pengamatan pertumbuhan vegetatif cabai merah. Data pengamatan di analisis dengan Analisis Of Varience (ANOVA) menggunakan program SPSS. V 20 pada tingkat kematangan 95 %. Hasil analisis menunjukkan bahwa penggunaan kompos kirinyuh dengan aktivator EM4 (D3) mampu secara nyata (P<0,05) meningkatkan pertumbuhan vegetatif cabai merah dibandingkan dengan perlakuan tanpa pemupukan menggunakan pupuk kimia (D1) sebagai kontrol positif. Hasil penelitian juga menunjukan adanya peningkatan pH yaitu pH 4,0 menjadi 7,0 pada perlakuan pemupukkan kompos kirinyuh + Aktivator EM4.
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Levin, Tomer T., John Riskind, and Yuelin Li. "Looming cognitive style and quality of life in a cancer cohort." Palliative and Supportive Care 8, no. 4 (2010): 449–54. http://dx.doi.org/10.1017/s1478951510000325.

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AbstractObjective:Looming cognitive styles (LCS) bias the velocity of potential threats and have been implicated in anxiety and depression vulnerability. This study aims to explore their contribution to impaired quality of life (QOL), beyond that of depression and anxiety, in a cancer cohort.Method:In a cross-sectional design, an ambulatory chronic lymphocytic leukemia (CLL) cohort completed a psychological battery that included the Beck Depression and Anxiety Inventories, the SF-36 Health Survey, the Functional Assessment of Chronic Illness Therapy (FACT), the Looming Cognitive Style Questionnaire (LCSQ), and the Looming Cancer measure.Results:The Looming Cancer measure correlated significtly with overall QOL (FACT-G, p = 0.005). This effect was largely due to the contribution of emotional QOL (Mental Component Score: SF-36, p = 0.001; FACT-emotional, p = 0.001) and functional QOL (FACT-functional, p = 0.001). Looming, unlike anxiety and depression, did not correlate with a worse physical QOL (Physical Component Score: SF-36, FACT-physical). Looming did not impact on social QOL. Hierarchical regression analysis showed that looming predicted 5.4% of the varience on the FACT-emotional, 5.1% on the Mental Component Score (SF-36), and 9.3% on the mental health subscale (SF-36), above and beyond the varience predicted by a constellation of psychosocial factors (including age, marital status, education, income) and the combined effect of depression and anxietySignificance of results:LCS predicts worse emotional and functional QOL, above and beyond the contribution of anxiety, depression, and other psycho-social variables. This suggests that it makes a unique contribution to a worse QOL. Nevertheless, the looming construct still remains primarily a research tool in psycho-oncology at this time.
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St»hle, Lars, and Svante Wold. "Analysis of variance (ANOVA)." Chemometrics and Intelligent Laboratory Systems 6, no. 4 (1989): 259–72. http://dx.doi.org/10.1016/0169-7439(89)80095-4.

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Thompson, Hilary W., Robertino Mera, and Chandan Prasad. "The Analysis of Variance (ANOVA)." Nutritional Neuroscience 2, no. 1 (1999): 43–55. http://dx.doi.org/10.1080/1028415x.1999.11747262.

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Dissertations / Theses on the topic "Analysis of Varience (ANOVA)"

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Prosser, Robert James. "Robustness of multivariate mixed model ANOVA." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25511.

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In experimental or quasi-experimental studies in which a repeated measures design is used, it is common to obtain scores on several dependent variables on each measurement occasion. Multivariate mixed model (MMM) analysis of variance (Thomas, 1983) is a recently developed alternative to the MANOVA procedure (Bock, 1975; Timm, 1980) for testing multivariate hypotheses concerning effects of a repeated factor (called occasions in this study) and interaction between repeated and non-repeated factors (termed group-by-occasion interaction here). If a condition derived by Thomas (1983), multivariate multi-sample sphericity (MMS), regarding the equality and structure of orthonormalized population covariance matrices is satisfied (given multivariate normality and independence for distributions of subjects' scores), valid likelihood-ratio MMM tests of group-by-occasion interaction and occasions hypotheses are possible. To date, no information has been available concerning actual (empirical) levels of significance of such tests when the MMS condition is violated. This study was conducted to begin to provide such information. Departure from the MMS condition can be classified into three types— termed departures of types A, B, and C respectively: (A) the covariance matrix for population ℊ (ℊ = 1,...G), when orthonormalized, has an equal-diagonal-block form but the resulting matrix for population ℊ is unequal to the resulting matrix for population ℊ' (ℊ ≠ ℊ'); (B) the G populations' orthonormalized covariance matrices are equal, but the matrix common to the populations does not have equal-diagonal-block structure; or (C) one or more populations has an orthonormalized covariance matrix which does not have equal-diagonal-block structure and two or more populations have unequal orthonormalized matrices. In this study, Monte Carlo procedures were used to examine the effect of each type of violation in turn on the Type I error rates of multivariate mixed model tests of group-by-occasion interaction and occasions null hypotheses. For each form of violation, experiments modelling several levels of severity were simulated. In these experiments: (a) the number of measured variables was two; (b) the number of measurement occasions was three; (c) the number of populations sampled was two or three; (d) the ratio of average sample size to number of measured variables was six or 12; and (e) the sample size ratios were 1:1 and 1:2 when G was two, and 1:1:1 and 1:1:2 when G was three. In experiments modelling violations of types A and C, the effects of negative and positive sampling were studied. When type A violations were modelled and samples were equal in size, actual Type I error rates did not differ significantly from nominal levels for tests of either hypothesis except under the most severe level of violation. In type A experiments using unequal groups in which the largest sample was drawn from the population whose orthogonalized covariance matrix has the smallest determinant (negative sampling), actual Type I error rates were significantly higher than nominal rates for tests of both hypotheses and for all levels of violation. In contrast, empirical levels of significance were significantly lower than nominal rates in type A experiments in which the largest sample was drawn from the population whose orthonormalized covariance matrix had the largest determinant (positive sampling). Tests of both hypotheses tended to be liberal in experiments which modelled type B violations. No strong relationships were observed between actual Type I error rates and any of: severity of violation, number of groups, ratio of average sample size to number of variables, and relative sizes of samples. In equal-groups experiments modelling type C violations in which the orthonormalized pooled covariance matrix departed at the more severe level from equal-diagonal-block form, actual Type I error rates for tests of both hypotheses tended to be liberal. Findings were more complex under the less severe level of structural departure. Empirical significance levels did not vary with the degree of interpopulation heterogeneity of orthonormalized covariance matrices. In type C experiments modelling negative sampling, tests of both hypotheses tended to be liberal. Degree of structural departure did not appear to influence actual Type I error rates but degree of interpopulation heterogeneity did. Actual Type I error rates in type C experiments modelling positive sampling were apparently related to the number of groups. When two populations were sampled, both tests tended to be conservative, while for three groups, the results were more complex. In general, under all types of violation the ratio of average group size to number of variables did not greatly affect actual Type I error rates. The report concludes with suggestions for practitioners considering use of the MMM procedure based upon the findings and recommends four avenues for future research on Type I error robustness of MMM analysis of variance. The matrix pool and computer programs used in the simulations are included in appendices.<br>Education, Faculty of<br>Educational and Counselling Psychology, and Special Education (ECPS), Department of<br>Graduate
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Halldestam, Markus. "ANOVA - The Effect of Outliers." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295864.

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This bachelor’s thesis focuses on the effect of outliers on the one-way analysis of variance and examines whether the estimate in ANOVA is robust and whether the actual test itself is robust from influence of extreme outliers. The robustness of the estimates is examined using the breakdown point while the robustness of the test is examined by simulating the hypothesis test under some extreme situations. This study finds evidence that the estimates in ANOVA are sensitive to outliers, i.e. that the procedure is not robust. Samples with a larger portion of extreme outliers have a higher type-I error probability than the expected level.
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Adnan, Arisman. "Analysis of taste-panel data using ANOVA and ordinal logistic regression." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402150.

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Liu, Yuan. "Mixed anova model analysis of microarray experiments with locally polled error /." Electronic version (PDF), 2004. http://dl.uncw.edu/etd/2004/liuy/yuanliu.pdf.

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Carter, Bruce Jerome. "An ANOVA Analysis of Education Inequities Using Participation and Representation in Education Systems." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4274.

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A problem recognized in the United States is that a K-12 public education in urban communities is more likely to support existing patterns of inequality than to serve as a pathway to opportunity. The specific focus of this research was on the poor academic performance in U.S K-12 urban communities. Using Benet's polarities of democracy theory as the foundation, the purpose of this correlational study was to determine which independent variables, enrollment rates, high school graduation rates, property tax funding rates for schools, teacher quality, and youth literacy rates are- statistically associated- with quality education outcomes by using the polarities of democracy participation and representation tenets as proxy variables. Secondary data spanning a 5-year aggregate period, 2010-2015, was compared for both Massachusetts and the United States, using Germany as the benchmark. Data were acquired from the Programme for International Student Assessment from the Organisation for Economic Cooperation and Development. The total sample included 150 cases randomly selected from 240 schools in Massachusetts and 150 schools in Germany. Data were analyzed using ANOVA. The results of this study indicate a statistically- significant (p- < .001) pairwise association between each of the 5 independent variables and the dependent variable. The 5 independent variables had a positive statistically significant effect on education quality. The implication for social change from this study includes insight and recommendations to the U.S Department of Education into best practices for reducing educational inequality and improving educational quality as measured by achievement in the United States.
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Lind, Ingela. "Regressor and Structure Selection : Uses of ANOVA in System Identification." Doctoral thesis, Linköping : Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7000.

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Hammi, Malik, and Ahmet Hakan Akdeve. "Poweranalys : bestämmelse av urvalsstorlek genom linjära mixade modeller och ANOVA." Thesis, Linköpings universitet, Statistik och maskininlärning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149026.

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In research where experiments on humans and animals is performed, it is in advance important to determine how many observations that is needed in a study to detect any effects in groups and to save time and costs. This could be examined by power analysis, in order to determine a sample size which is enough to detect any effects in a study, a so called “power”. Power is the probability to reject the null hypothesis when the null hypothesis is false. Mälardalen University and the Caroline Institute have in cooperation, formed a study (The Climate Friendly and Ecological Food on Microbiota) based on individual’s dietary intake. Every single individual have been assigned to a specific diet during 8 weeks, with the purpose to examine whether emissions of carbon dioxide, CO2, differs reliant to the specific diet each individuals follows. There are two groups, one treatment and one control group. Individuals assigned to the treatment group are supposed to follow a climatarian diet while the individuals in the control group follows a conventional diet. Each individual have been followed up during 8 weeks in total, with three different measurements occasions, 4 weeks apart. The different measurements are Baseline assessment, Midline assessment and End assessment. In the CLEAR-study there are a total of 18 individuals, with 9 individuals in each group. The amount of individuals are not enough to reach any statistical significance in a test and therefore the sample size shall be examined through power analysis. In terms of, data, every individual have three different measurements occasions that needs to be modeled through mixed-design ANOVA and linear mixed models. These two methods takes into account, each individual’s different measurements. The models which describes data are applied in the computations of sample sizes and power. All the analysis are done in the programming language R with means and standard deviations from the study and the models as a base. Sample sizes and power have been computed for two different linear mixed models and one ANOVA model. The linear mixed models required less individuals than ANOVA in terms of a desired power of 80 percent. 24 individuals in total were required by the linear mixed model that had the factors group, time, id and the covariate sex. 42 individuals were required by ANOVA that includes the variables id, group and time.<br>Inom forskning där försök, dels utförs på människor och djur, vill man försäkra sig om en lämplig urvalsstorlek för att spara tid och kostnad samtidigt som en önskad statistisk styrka uppnås. Mälardalens högskola och Karolinska institutet har gjort en pilotstudie (CLEAR) som undersöker människors koldioxidutsläpp i förhållande till kosthållning. Varje individ i studien har fått riktlinjer om att antingen följa en klimatvänlig- eller en konventionell kosthållning i totalt 8 veckor. Individerna följs upp med 4 veckors mellanrum, vilket har resulterat i tre mättillfällen, inklusive en baslinjemätning. I CLEAR-studien finns variabler om individernas kön, ålder, kosthållning samt intag av makro- och mikronäringsämnen. Nio individer i respektive grupp finns, där grupperna är klimat- och kontrollgruppen. Totala antalet individer i pilotstudien är för få för att erhålla statistisk signifikans vid statistiska tester och därför bör urvalsstorleken undersökas genom att göra styrkeberäkningar. Styrkan som beräknas är sannolikheten att förkasta nollhypotesen när den är falsk. För att kunna beräkna urvalsstorlekar måste modeller skapas utifrån strukturen på data, vilket kommer att göras med metoderna mixed-design ANOVA och linjära mixade modeller. Metoderna tar hänsyn till att varje individ har fler än en mätning. Modellerna som beskriver data tillämpas i beräkningarna av styrka. Urvalsstorlekarna och styrkan som beräknats är simuleringsbaserad och har analyserats i programspråket R med modellerna och värden från pilotstudien som grund. Styrka och urvalsstorlekar har beräknats för två linjära mixade modeller och en ANOVA. De linjära mixade modellerna kräver färre individer än ANOVA för en önskad styrka på 80 procent. Av de linjära mixade modellerna som krävde minst individer behövdes totalt 24 individer medan mixed design-ANOVA krävde 42 individer totalt.
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An, Qian. "A Monte Carlo study of several alpha-adjustment procedures using a testing multiple hypotheses in factorial anova." Ohio : Ohio University, 2010. http://www.ohiolink.edu/etd/view.cgi?ohiou1269439475.

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Jordaan, Aletta Gertruida. "Empirical Bayes estimation of the extreme value index in an ANOVA setting." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86216.

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Thesis (MComm)-- Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Extreme value theory (EVT) involves the development of statistical models and techniques in order to describe and model extreme events. In order to make inferences about extreme quantiles, it is necessary to estimate the extreme value index (EVI). Numerous estimators of the EVI exist in the literature. However, these estimators are only applicable in the single sample setting. The aim of this study is to obtain an improved estimator of the EVI that is applicable to an ANOVA setting. An ANOVA setting lends itself naturally to empirical Bayes (EB) estimators, which are the main estimators under consideration in this study. EB estimators have not received much attention in the literature. The study begins with a literature study, covering the areas of application of EVT, Bayesian theory and EB theory. Different estimation methods of the EVI are discussed, focusing also on possible methods of determining the optimal threshold. Specifically, two adaptive methods of threshold selection are considered. A simulation study is carried out to compare the performance of different estimation methods, applied only in the single sample setting. First order and second order estimation methods are considered. In the case of second order estimation, possible methods of estimating the second order parameter are also explored. With regards to obtaining an estimator that is applicable to an ANOVA setting, a first order EB estimator and a second order EB estimator of the EVI are derived. A case study of five insurance claims portfolios is used to examine whether the two EB estimators improve the accuracy of estimating the EVI, when compared to viewing the portfolios in isolation. The results showed that the first order EB estimator performed better than the Hill estimator. However, the second order EB estimator did not perform better than the “benchmark” second order estimator, namely fitting the perturbed Pareto distribution to all observations above a pre-determined threshold by means of maximum likelihood estimation.<br>AFRIKAANSE OPSOMMING: Ekstreemwaardeteorie (EWT) behels die ontwikkeling van statistiese modelle en tegnieke wat gebruik word om ekstreme gebeurtenisse te beskryf en te modelleer. Ten einde inferensies aangaande ekstreem kwantiele te maak, is dit nodig om die ekstreem waarde indeks (EWI) te beraam. Daar bestaan talle beramers van die EWI in die literatuur. Hierdie beramers is egter slegs van toepassing in die enkele steekproef geval. Die doel van hierdie studie is om ’n meer akkurate beramer van die EWI te verkry wat van toepassing is in ’n ANOVA opset. ’n ANOVA opset leen homself tot die gebruik van empiriese Bayes (EB) beramers, wat die fokus van hierdie studie sal wees. Hierdie beramers is nog nie in literatuur ondersoek nie. Die studie begin met ’n literatuurstudie, wat die areas van toepassing vir EWT, Bayes teorie en EB teorie insluit. Verskillende metodes van EWI beraming word bespreek, insluitend ’n bespreking oor hoe die optimale drempel bepaal kan word. Spesifiek word twee aanpasbare metodes van drempelseleksie beskou. ’n Simulasiestudie is uitgevoer om die akkuraatheid van beraming van verskillende beramingsmetodes te vergelyk, in die enkele steekproef geval. Eerste orde en tweede orde beramingsmetodes word beskou. In die geval van tweede orde beraming, word moontlike beramingsmetodes van die tweede orde parameter ook ondersoek. ’n Eerste orde en ’n tweede orde EB beramer van die EWI is afgelei met die doel om ’n beramer te kry wat van toepassing is vir die ANAVA opset. ’n Gevallestudie van vyf versekeringsportefeuljes word gebruik om ondersoek in te stel of die twee EB beramers die akkuraatheid van beraming van die EWI verbeter, in vergelyking met die EWI beramers wat verkry word deur die portefeuljes afsonderlik te ontleed. Die resultate toon dat die eerste orde EB beramer beter gevaar het as die Hill beramer. Die tweede orde EB beramer het egter slegter gevaar as die tweede orde beramer wat gebruik is as maatstaf, naamlik die passing van die gesteurde Pareto verdeling (PPD) aan alle waarnemings bo ’n gegewe drempel, met behulp van maksimum aanneemlikheidsberaming.
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King, Taylor J. "Power Analysis to Determine the Importance of Covariance Structure Choice in Mixed Model Repeated Measures Anova." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28656.

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Repeated measures experiments involve multiple subjects with measurements taken on each subject over time. We used SAS to conduct a simulation study to see how different methods of analysis perform under various simulation parameters (e.g. sample size, autocorrelation, repeated measures). Our goals were to: compare the multivariate analysis of variance method using PROC GLM to the mixed model method using PROC MIXED in terms of power, determine how choosing the incorrect covariance structure for mixed model analysis affects power, and identify sample sizes needed to produce adequate power of 90 percent under different scenarios. The findings support using the mixed model method over the multivariate method because power is generally higher when using the mixed model method. Simpler covariance structures may be preferred when testing the within-subjects effect to obtain high power. Additionally, these results can be used as a guide for determining the sample size needed for adequate power.
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Books on the topic "Analysis of Varience (ANOVA)"

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ANOVA: An analysis of variance primer. F.E. Peacock Publishers, 1994.

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ANOVA: Repeated measures. Sage Publications, 1992.

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Rutherford, Andrew, and Andrew Rutherford. ANOVA and ANCOVA: A GLM approach. 2nd ed. Wiley, 2011.

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Introducing ANOVA and ANCOVA: A GLM approach. SAGE, 2001.

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Jackson, Sally Ann. Random factors in ANOVA. Sage Publications, 1994.

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Rutherford, Andrew. ANOVA and ANCOVA: A GLM approach. 2nd ed. Wiley, 2011.

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S, Fidell Linda, ed. Experimental designs using ANOVA. Thomson/Brooks/Cole, 2007.

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M, Borror Connie, and Montgomery Douglas C, eds. Design and analysis of gauge R&R studies: Making decisions with confidence intervals in random and mixed ANOVA models. Society for Industrial Applied Mathematics, 2005.

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Scott Jones, Julie. Learn to Use Factorial Analysis of Variance (ANOVA) in SPSS With Data From the English Health Survey (Teaching Dataset) (2002). SAGE Publications Ltd., 2019. http://dx.doi.org/10.4135/9781526485786.

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Scott Jones, Julie. Learn to Use Factorial Analysis of Variance (ANOVA) in R With Data From the English Health Survey (Teaching Dataset) (2002). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498694.

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Book chapters on the topic "Analysis of Varience (ANOVA)"

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Judd, Charles M., Gary H. McClelland, and Carey S. Ryan. "Factorial ANOVA." In Data Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315744131-9.

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Judd, Charles M., Gary H. McClelland, and Carey S. Ryan. "Repeated-Measures ANOVA." In Data Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315744131-11.

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Judd, Charles M., Gary H. McClelland, and Carey S. Ryan. "One-Way ANOVA." In Data Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315744131-8.

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Vasishth, Shravan, and Michael Broe. "Analysis of Variance (ANOVA)." In The Foundations of Statistics: A Simulation-based Approach. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16313-5_5.

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Acton, Ciaran, Robert Miller, John Maltby, and Deirdre Fullerton. "Analysis of Variance (ANOVA)." In SPSS for Social Scientists. Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-01390-3_9.

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Shahbaba, Babak. "Analysis of Variance (ANOVA)." In Biostatistics with R. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1302-8_9.

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Miller, Robert L., Ciaran Acton, Deirdre A. Fullerton, John Maltby, and Jo Campling. "Analysis of Variance (ANOVA)." In SPSS for Social Scientists. Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62968-4_8.

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Kaufman, Jörg. "Analysis of Variance (ANOVA)." In Methods and Applications of Statistics in Clinical Trials. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596333.ch2.

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Reddy, M. Venkataswamy. "Experimental Data Analysis: Anova." In Statistical Methods in Psychiatry Research and SPSS. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429023309-10.

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Williams, R. B. G. "ANOVA and Regression Analysis." In Intermediate Statistics for Geographers and Earth Scientists. Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_4.

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Conference papers on the topic "Analysis of Varience (ANOVA)"

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Areia, Aníbal, and João T. Mexia. "ANOVA like analysis of cancer death age." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4951825.

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Raphael, Rincy, Vinod P., and Bini Omman. "X-ANOVA ranked features for Android malware analysis." In 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030646.

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Shinozaki, Hidetoshi, and Yoshiyuki Nakao. "Equipment Comparison Analysis using ANOVA of FDC Statistics." In 2018 International Symposium on Semiconductor Manufacturing (ISSM). IEEE, 2018. http://dx.doi.org/10.1109/issm.2018.8651172.

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Surendiran, B., Y. Sundaraiah, and A. Vadivel. "Classifying Digital Mammogram Masses Using Univariate ANOVA Discriminant Analysis." In 2009 International Conference on Advances in Recent Technologies in Communication and Computing. ARTCom 2009. IEEE, 2009. http://dx.doi.org/10.1109/artcom.2009.33.

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Areia, Aníbal, and João Mexia. "ANOVA like analysis with limit distributions for large samples." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044183.

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Fang, Yujie, Xia Wang, Yu Su, Kai Zhang, and Binghua Su. "The Accuracy Analysis of TOF Camera Based on ANOVA." In 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2018. http://dx.doi.org/10.1109/icce-china.2018.8448475.

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Dias, Cristina, Carla Santos, Maria Varadinov, and João T. Mexia. "ANOVA like analysis for structured families of stochastic matrices." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE 2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4968735.

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MUDHOLKAR, GOVIND S., DEO KUMAR SRIVASTAVA, CAROL E. MARCHETTI, and ANIL G. MUDHOLKAR. "TRIMMED ANALYSIS OF VARIANCE: A ROBUST MODIFICATION OF ANOVA." In Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814417983_0012.

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Nunes, Célia, Gilberto Capistrano, Dário Ferreira, Sandra S. Ferreira, and João T. Mexia. "One-way fixed effects ANOVA with missing observations." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912415.

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Song, Wenbin, and Andy Keane. "Parameter Screening Using Impact Factors and Surrogate-Based ANOVA Techniques." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7088.

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Reports on the topic "Analysis of Varience (ANOVA)"

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Verrill, Steve, and David E. Kretschmann. Reminder about potentially serious problems with a type of blocked ANOVA analysis. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2017. http://dx.doi.org/10.2737/fpl-rp-683.

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Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained and used for statistical data analysis using analysis of variable (ANOVA) and two sample t-tests. The analysis results showed that 75.27% of the owner– operator truck drivers responded are willing to pay toll fees when they choose routes. The tolerated average toll fees are $13.77/ hr and $12.82/hr for weekdays and weekends, respectively. The analysis results also showed that owner–operator truck drivers will take truck-only toll lanes when they take the routes used in four comparisons out of six comparisons according to the three measures such as values of time, reliability, and safety, despite sharing a common origin and destination. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of time is $0.31/mile or $18.35/hr. The toll fees associated with reliability and safety measures are $0.30/mile or $8.94/hr and $0.22/mile or $11.01/hr, respectively. These results are meaningful for legislators and transportation agencies as the behaviors and route choice characteristics of owner–operator truck drivers help them better understand the utility and demand for truck-only toll lanes.
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Tucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, 2020. http://dx.doi.org/10.52012/tyob9090.

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The summative external evaluation report described the program's impact on faculty and students participating in recitation sessions and active teaching professional development sessions over two years. Student persistence and retention in engineering courses continue to be a challenge in undergraduate education, especially for students underrepresented in engineering disciplines. The program's goal was to use peer-facilitated instruction in core engineering courses known to have high attrition rates to retain underrepresented students, especially women, in engineering to diversify and broaden engineering participation. Knowledge generated around using peer-facilitated instruction at two-year colleges can improve underrepresented students' success and participation in engineering across a broad range of institutions. Students in the program participated in peer-facilitated recitation sessions linked to fundamental engineering courses, such as engineering analysis, statics, and dynamics. These courses have the highest failure rate among women and underrepresented minority students. As a mixed-methods evaluation study, student engagement was measured as students' comfort with asking questions, collaboration with peers, and applying mathematics concepts. SPSS was used to analyze pre-and post-surveys for statistical significance. Qualitative data were collected through classroom observations and focus group sessions with recitation leaders. Semi-structured interviews were conducted with faculty members and students to understand their experiences in the program. Findings revealed that women students had marginalization and intimidation perceptions primarily from courses with significantly more men than women. However, they shared numerous strategies that could support them towards success through the engineering pathway. Women and underrepresented students perceived that they did not have a network of peers and faculty as role models to identify within engineering disciplines. The recitation sessions had a positive social impact on Hispanic women. As opportunities to collaborate increased, Hispanic womens' social engagement was expected to increase. This social engagement level has already been predicted to increase women students' persistence and retention in engineering and result in them not leaving the engineering pathway. An analysis of quantitative survey data from students in the three engineering courses revealed a significant effect of race and ethnicity for comfort in asking questions in class, collaborating with peers outside the classroom, and applying mathematical concepts. Further examination of this effect for comfort with asking questions in class revealed that comfort asking questions was driven by one or two extreme post-test scores of Asian students. A follow-up ANOVA for this item revealed that Asian women reported feeling excluded in the classroom. However, it was difficult to determine whether these differences are stable given the small sample size for students identifying as Asian. Furthermore, gender differences were significant for comfort in communicating with professors and peers. Overall, women reported less comfort communicating with their professors than men. Results from student metrics will inform faculty professional development efforts to increase faculty support and maximize student engagement, persistence, and retention in engineering courses at community colleges. Summative results from this project could inform the national STEM community about recitation support to further improve undergraduate engineering learning and educational research.
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