Relevant bibliographies by topics / Normality

Academic literature on the topic 'Normality'

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Published: 4 June 2021
Last updated: 5 March 2023

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Journal articles on the topic "Normality"

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Jevrić, Tamara. "Normality and normalcy: A case of -ity/-cy doublets in the BNC." Zbornik radova Filozofskog fakulteta u Pristini 51, no. 3 (2021): 189–201. http://dx.doi.org/10.5937/zrffp51-32515.

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Corpus-based research into derivational morphology can explain how affixes function, answer questions about their productivity and its relation to their synonymy, and clarify the rivalry between certain affixes and their semantic distinction. The aim of this research is to establish the similarities and differences between the nouns normality and normalcy by contrasting the suffixes -ity and -cy they contain in the British National Corpus (BNC). The focus is on the collocates which precede the nouns and the sources in which they appear. The attempt is also to understand what characterises the suffixes and their distribution. By focusing on normality and normalcy, we examine how lexical items behave in an electronically-stored corpus and whether a strong connection between meaning and form manifests itself in different word patterns highlighting different aspects of meaning.
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KALANTAN, LUTFI, and MAI MANSOURI. "P-Normality." Journal of Mathematical Analysis 12, no. 6 (December 31, 2021): 1–8. http://dx.doi.org/10.54379/jma-2021-6-1.

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A topological space X is called P-normal if there exist a normal space Y and a bijective function f : X −→ Y such that the restriction f|A : A −→ f(A) is a homeomorphism for each paracompact subspace A ⊆ X. We will investigate this property and produce some examples to illustrate the relation between P-normality and other weaker kinds of normality.
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Ahsanullah, M., and Bikas K. Sinha. "On Normality VIA Conditional Normality." Calcutta Statistical Association Bulletin 35, no. 3-4 (September 1986): 199–202. http://dx.doi.org/10.1177/0008068319860309.

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Consider X=( Xo , X1 ... , Xp) and suppose [Formula: see text] Assume further that Xi's ( i=0,1, ... , p) are marginally identically distributed. Does this Imply normality of X ? Ahsanullah ( Metrika (1985), 32, 215-218) raised this question and resolved it in the affirmative for p = 1. This is, of course, not true for p > 1. We give a counter-example to that effect. Next we prove that exchangeability of the components Xo , .... Xp of X along with conditional normality of Xo (as stated above) indeed ensure normality of X.
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Nevo, Shahar. "From normality to Qm-normality." Journal of Mathematical Analysis and Applications 320, no. 1 (August 2006): 192–204. http://dx.doi.org/10.1016/j.jmaa.2005.06.072.

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Ahsanullah, M., and Jacek Wesolowski. "Multivariate normality via conditional normality." Statistics & Probability Letters 20, no. 3 (June 1994): 235–38. http://dx.doi.org/10.1016/0167-7152(94)90047-7.

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Horwitz, Allan V. "Normality." Contexts 7, no. 1 (February 2008): 70–71. http://dx.doi.org/10.1525/ctx.2008.7.1.70.

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Verdant, Colin L., and Marc-Jacques Dubois. "Normality." Critical Care Medicine 32, no. 1 (January 2004): 312–13. http://dx.doi.org/10.1097/01.ccm.0000104934.22180.ea.

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BARR, RONALD G. "Normality." Journal of Developmental & Behavioral Pediatrics 14, no. 4 (August 1993): 264???270. http://dx.doi.org/10.1097/00004703-199308010-00011.

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Liu, Xiao Jun, Shahar Nevo, and Xue Cheng Pang. "Differential inequalities, normality and quasi-normality." Acta Mathematica Sinica, English Series 30, no. 2 (January 15, 2014): 277–82. http://dx.doi.org/10.1007/s10114-014-2542-8.

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Gheith, Nadia, and Samirah ALZahrani. "Epi- α -Normality and Epi- β -Normality." Journal of Mathematics 2021 (July 19, 2021): 1–7. http://dx.doi.org/10.1155/2021/9311004.

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A topological space Y , τ is called epi- α -normal (epi- β -normal) if there is a coarser topology τ ′ on Y such that Y , τ ′ is T 1 α -normal ( T 1 β -normal). We investigate these properties and show some examples to explain the relationships of epi- α -normal (epi- β -normal) with other weaker versions of normality and some topological spaces.
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Dissertations / Theses on the topic "Normality"

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Pu, Wenji. "Tests of bivariate normality." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0025/MQ38403.pdf.

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Boavida, João Pedro do Carmo. "Excess returns and normality." Master's thesis, Instituto Superior de Economia e Gestão, 2011. http://hdl.handle.net/10400.5/3416.

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Mestrado em Economia Monetária e Financeira
In this dissertation, I assess under which circumstances normality can be a good descriptive model for the U.S. excess returns. I explore two possible sources of deviations from normal¬ity: structural breaks and regime switching in long term aggregate time series. In addition, I study temporal aggregation (i.e., considering the frequency of data as a variable) for ex¬cess returns in short term time series. My main findings are summarized as follows. First, using long spanning monthly time series data from 1871 to 2010, I find that (1) there are structural breaks in monthly excess returns between pre-WWII and post-WWII data; and, (2) while pre-WWII data is consistent with normality, post-WWII data is not. Second, I provide evidence of two market regimes for excess returns in post-WWII data. These regimes may be seen as bull and bear market conditions. Third, using high frequency post-WWII data, I check for aggregational Gaussianity, from daily to annual data. I find that Gaus-sianity depends on the frequency of data: it may hold for highly aggregate data (starting from semi-annual to annual data) but it does not hold for high frequency data (less than semi-annual). My main contribution is to demonstrate the "normality survival" when fre¬quency is taken as a variable. After a careful look at the available literature on aggregational Gaussianity, I found no previous applications and results for excess returns.
Nesta dissertação, eu avalio sob que condições a normalidade pode ser um bom modelo descritivo para os excess returns nos E.U.A.. Para tal, exploro duas fontes potenciais de desvio da normalidade: quebras de estrutura e mistura de regimes para series temporais longas agregadas. Adicionalmente, estudo a agregaçao temporal (i.e., tomando a frequencia dos dados como variável) para os excess returns em series temporais. Os principais resultados obtidos sao os seguintes. Primeiro, utilizando dados mensais para um longo perodo temporal de 1871 ate 2010, conclui-se que: (1) existem quebras de estrutura nos excess returns mensais entre o período antes e depois da Segunda Guerra Mundial (SGM) e, (2) enquanto os dados do período antes da SGM sao consistentes com a normalidade, os dados do pós-guerra nao são. Segundo, apresenta-se evidencia de dois regimes de mercado para o período pos-SGM. Estes regimes podem ser vistos como descrevendo condições de mercado buli e bear. Terceiro, usando dados com frequencias mais altas para o período pos-SGM, testa-se a aggregational Gaussianity para dados de diários ate dados anuais. Conclui-se que a Gaussianity depende da frequencia dos dados: pode ser valida para dados mais agregados (comecando em dados semestrais ate dados anuais) mas não e valida para dados com frequencias mais altas (menores que semestrais). O principal contributo desta dissertacão e demonstrar a sobrevivência da normalidade quando se toma a frequncia dos dados como variavel. Apás uma revisãao aprofundada da literatura sobre aggregational Gaussianity, n ao encontrei resultados anteriores para os excess returns.
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Celi, Maria Alejandra. "Normality, values and affiliation." Bachelor's thesis, Universidad Nacional de Cuyo. Facultad de Filosofía y Letras, 2016. http://bdigital.uncu.edu.ar/8961.

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La selección de libros de texto para el aula de la escuela EFL a nivel local sigue siendo muy dependiente de cuestiones tales como las demandas del plan de estudios, los factores de motivación para los estudiantes, el tratamiento de la gramática y lexis, y la promoción de ciertas series de libros por las editoriales que ayuda a establecer una tendencia Para su adopción. Este trabajo abordó la necesidad de considerar críticamente los libros de texto de EFL para las aulas de las escuelas locales y, más específicamente, la necesidad de analizar los valores ideológicos que los autores de los libros de texto parecen respaldar e intentar afiliar a sus usuarios intencionados, material. Este estudio específicamente intentó explorar: i) cómo la normalidad y la tipicidad se interpretan en los libros de texto de EFL; Ii) ¿cuáles son los sistemas de creencias y valores que subyacen a tales representaciones de lo normal o típico que Se espera que los estudiantes se afilien con; Iii) qué comunidad de lectores los libros de texto en inglés buscan alinear y, dadas las conclusiones relativas a las tres preguntas anteriores, iv) cómo son apropiados los libros de texto EFL para los diferentes contextos educativos dentro de la comunidad local. El estudio se basó en el sistema de transitividad desarrollado por M. K. Halliday y colegas. Como modelo de los procesos y de las configuraciones semánticas asociadas de los participantes y las circunstancias, el sistema de transitividad ofrece un gran potencial para descubrir la base ideológica de tales representaciones, ya que las configuraciones de transitividad pueden evocar la normalidad entre Muchos otros tipos de juicios y actitudes en general (Martin y White 2005). Sin embargo, los recursos de evaluación no fueron explorados en este estudio, que se basó en el análisis de treinta (30) textos tomados de cuatro (4) diferentes libros de texto de EFL, clasificados en 6 grupos diferentes en términos de campo y luego analizados a la luz del Transitividad. Los textos seleccionados fueron incluidos como modelos para la escritura en los libros de texto, con el participante principal en ellos representando vicariamente al usuario del libro de texto. Los resultados mostraron que ciertas acciones, hábitos y atributos relacionados con temas tales como las relaciones entre padres e hijos, el matrimonio, la familia y el papel de las mujeres fueron predominantemente descritos como normales en la mayoría de los grupos de campo. Además, hubo ciertas secuencias de actividad (Martin y Rose 2003) instanciadas frecuentemente entre grupos de campo que sirvieron para naturalizar ciertos comportamientos como normales, reflejando un sistema de valores de creencias que los autores recurrieron a afiliar a sus lectores.
The selection of textbooks for the EFL school classroom locally is still very much dependent on issues such as syllabus demands, motivational factors for students, the treatment of grammar and lexis, and the promotion of certain book series by publishing houses that helps set up a trend for the adoption of them. This paper addressed the need to consider EFL textbooks for the local school classrooms critically and, more specifically, the need to analyze the ideological values the textbook authors seem to endorse and to try to affiliate their intended users with, an aspect often disregarded when selecting classroom material. This study specifically attempted to explore: i) how normality and typicality are construed in EFL textbooks; ii) what are the belief and value systems underlying such representations of the normal or typical that students are expected to affiliate with; iii) what community of readers English textbooks seek to align with, and, given the findings relating to the previous three questions, iv) how appropriate EFL textbooks are for the different educational contexts within the local community. The study drew on the transitivity system developed by M. K. Halliday and colleagues. As a model of the processes and associated semantic configurations of participants and circumstances (Halliday 1985; Martin, Matthiessen & Painter 1997; Matthiesssen 1995), the transitivity system offers great potential for uncovering the ideological basis of such representations since transitivity configurations can evoke normality among many other kinds of judgments and attitudes in general (Martin and White 2005). Yet, appraisal resources were not explored in this study, which was based on the analysis of thirty (30) texts taken from four (4) different EFL textbooks, classified into 6 different groups in terms of field and then analyzed in the light of the transitivity system. The texts selected were all included as models for writing in the textbooks, with the main participant in them vicariously representing the textbook-user. Results showed that certain actions, habits and attributes relating to issues such as parent-children relations, marriage, family, and women’s roles were prevailingly depicted as normal across most field groups. In addition, there were certain activity sequences (Martin and Rose 2003) instantiated frequently across field groups that served to naturalize certain behaviors as normal, reflecting a belief value system the authors resorted to affiliate their readers.
Fil: Celi, Maria Alejandra. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras.
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Davies, A. E. "Neurological normality in old age." Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479275.

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Wang, Yishi. "Some new tests for normality." Diss., Online access via UMI:, 2006.

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Whelan, Emma Louise. "The normality of suicidal cognitions." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364720.

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Lee, Yew-Haur Jr. "Fisher Information Test of Normality." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30725.

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An extremal property of normal distributions is that they have the smallest Fisher Information for location among all distributions with the same variance. A new test of normality proposed by Terrell (1995) utilizes the above property by finding that density of maximum likelihood constrained on having the expected Fisher Information under normality based on the sample variance. The test statistic is then constructed as a ratio of the resulting likelihood against that of normality. Since the asymptotic distribution of this test statistic is not available, the critical values for n = 3 to 200 have been obtained by simulation and smoothed using polynomials. An extensive power study shows that the test has superior power against distributions that are symmetric and leptokurtic (long-tailed). Another advantage of the test over existing ones is the direct depiction of any deviation from normality in the form of a density estimate. This is evident when the test is applied to several real data sets. Testing of normality in residuals is also investigated. Various approaches in dealing with residuals being possibly heteroscedastic and correlated suffer from a loss of power. The approach with the fewest undesirable features is to use the Ordinary Least Squares (OLS) residuals in place of independent observations. From simulations, it is shown that one has to be careful about the levels of the normality tests and also in generalizing the results.
Ph. D.
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Andersson, Johan, and Mats Burberg. "Testing For Normality of Censored Data." Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889.

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In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct distribution of the data. This paper focused on censored data from the normal distribution. The purpose of this paper was to answer whether we can test if data comes from a censored normal distribution. This by using normality tests and tests designed for censored data and investigate if we got correct size of these tests. This has been carried out with simulations in the program R for left censored data. The results indicated that with increasing censoring normality tests failed to accept normality in a sample. On the other hand the censoring tests met the requirements with increasing censoring level, which was the most important conclusion in this paper.
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Adekola, Olatunde Adetoyese. "Asymptomatic posterior normality for stochastic processes." Thesis, University of Surrey, 1987. http://epubs.surrey.ac.uk/847129/.

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The problem of demonstrating the limiting normality of posterior distributions arising from stochastic processes and allied results are reconsidered. We present a fairly general set of conditions for asymptotic posterior normality which covers a wide class of problems. The single and multiparameter cases are both treated. One important difference between the conditions presented here and those of other authors (for example, Heyde and Johnstone (1979), hereafter referred to as H-J) is the use of a shrinking neighbourhood for asymptotic continuity of information, whereas in H-J (1979) a fixed neighbourhood is taken. Some examples to illustrate the importance of this study are considered in detail and this embraces diverse areas of application. Apart from a sequence of constants that is used to measure the order of Fisher's observed information, the uniformity requirement (which may be dropped for some ergodic models) allows us to dispense with further conditions regarding moments of the first and second derivatives of log-likelihood. We obtain the fundamental Bernstein Von Mises theorem in the asymptotic theory of Bayesian inference for stochastic processes. As an application of the theorem, we obtain asymptotic properties of Bayes' estimators for a suitable class of loss functions and show that the maximum likelihood estimator and Bayes estimator are asymptoticaly equivalent. Apart from obtaining some sufficient conditions under which one canobtain asymptotic posterior normality for evolutive processes, such as non-homogeneous Poisson processes and non-homogeneous birth processess, we also present and discuss some sufficient conditions for generalised linear models and other ergodic processes. We also discuss some relationships between our conditions and those imposed by earlier authors. Finally, we discuss the rate of convergence of posterior distributions to the normal distribution, some open problems and scope for further research.
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Wong, Hoi-lam. "On two tests for multivariate normality." HKBU Institutional Repository, 1993. https://repository.hkbu.edu.hk/etd_ra/12.

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Books on the topic "Normality"

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Carol, Bates, and Royal College of Midwives, eds. Normality in midwifery. London: Royal College of Midwives, 1997.

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Testing for normality. New York: Marcel Dekker, 2002.

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Nergiz, Devrimsel Deniz. I Long for Normality. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-01872-6.

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Swaan, A. de. The management of normality. London: Routledge, 1990.

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Loughnane, Rory, and Edel Semple, eds. Staged Normality in Shakespeare's England. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00892-5.

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Sengstack, Jeff. Normality: The official strategy guide. Rocklin, CA: Prima Pub., 1996.

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Love relations: Normality and pathology. New Haven: Yale University Press, 1995.

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Albert, Rothenberg, ed. Adolescence: Psychopathology, normality, and creativity. Philadelphia, PA: Saunders, 1990.

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Bera, Anil K. A large sample normality test. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1993.

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Bera, Anil. Tests for normality with stable alternatives. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.

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Book chapters on the topic "Normality"

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Levesque, Roger J. R. "Normality." In Encyclopedia of Adolescence, 1911–12. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_575.

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Woolley, David, and Adam Woolley. "Normality." In Practical Toxicology, 37–59. Third edition. | Boca Raton : Taylor & Francis, 2017. | Preceded by A guide to practical toxicology : evaluation, prediction, and risk /: CRC Press, 2017. http://dx.doi.org/10.1201/9781315157122-2.

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Ryan, Christian. "Normality." In Data Science with R for Psychologists and Healthcare Professionals, 109–24. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003106845-9.

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Picado, Jorge, and Aleš Pultr. "Normality." In Separation in Point-Free Topology, 137–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53479-0_7.

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Di Lorenzo, Renato. "Normality." In Trading Systems, 23–31. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2706-0_5.

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Levesque, Roger J. R. "Normality." In Encyclopedia of Adolescence, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_575-2.

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Levesque, Roger J. R. "Normality." In Encyclopedia of Adolescence, 2557–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_575.

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Mortad, Mohammed Hichem. "Normality." In Counterexamples in Operator Theory, 441–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97814-3_23.

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Neuberger, Gustavo, Gilson Wirth, and Ricardo Reis. "Normality Tests." In Protecting Chips Against Hold Time Violations Due to Variability, 69–75. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-2427-3_8.

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Nguyen, Hung T., and Gerald S. Rogers. "Asymptotic Normality." In Springer Texts in Statistics, 166–74. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-8914-9_25.

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Conference papers on the topic "Normality"

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Al-Akkad, Amro, Leonardo Ramirez, Sebastian Denef, Alexander Boden, Lisa Wood, Monika Büscher, and Andreas Zimmermann. ""Reconstructing normality"." In the 25th Australian Computer-Human Interaction Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2541016.2541051.

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Esmen, N. A., G. A. Day, and T. A. Hall. "179. Sample Size Based Indication of Normality in Log-Normally Distributed Samples." In AIHce 1997 - Taking Responsibility...Building Tomorrow's Profession Papers. AIHA, 1999. http://dx.doi.org/10.3320/1.2765301.

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Su, Yan, and Ya-Ping Huang. "Smooth Test for Multivariate Normality." In 2015 International Conference on Automation, Mechanical Control and Computational Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/amcce-15.2015.301.

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Wang, Siqi, Yijie Zeng, Qiang Liu, Chengzhang Zhu, En Zhu, and Jianping Yin. "Detecting Abnormality without Knowing Normality." In MM '18: ACM Multimedia Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240508.3240615.

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Kumar, Ankit, and Kristofer Bouchard. "Non-normality in neural networks." In AI and Optical Data Sciences III, edited by Ken-ichi Kitayama and Bahram Jalali. SPIE, 2022. http://dx.doi.org/10.1117/12.2613472.

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Han, Sumin, and Pinghua Huang. "The Normality Analysis of Test Scores." In 2011 International Conference on Control, Automation and Systems Engineering (CASE). IEEE, 2011. http://dx.doi.org/10.1109/iccase.2011.5997826.

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Su, Yan, and Boyuan Zhou. "Smooth Test for Multivariate Skew-Normality." In ICAIP 2019: 2019 3rd International Conference on Advances in Image Processing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3373419.3373422.

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Silva Rocha, Jeronimo, Jose Ewerton P. de Farias, and Marcelo Sampaio de Alencar. "Spectrum sensing based on normality test." In 2013 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC). IEEE, 2013. http://dx.doi.org/10.1109/imoc.2013.6646454.

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Harremoes, Peter. "The Rate Distortion Test of Normality." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849707.

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Shatskikh, Sergey Ya, and Lana E. Melkumova. "Normality assumption in statistical data analysis." In International Conference Information Technology and Nanotechnology 2016. Samara State Aerospace University, Image Processing Systems Institute, Russian Academy of Sciences, 2016. http://dx.doi.org/10.18287/1613-0073-2016-1638-763-768.

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Reports on the topic "Normality"

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Lee, S. L. A sharp upper bound for departure from normality. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10184297.

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Gupta, Shanti S., and Klaus J. Miescke. On the Performance of Subset Selection Procedures Under Normality. Fort Belvoir, VA: Defense Technical Information Center, June 1998. http://dx.doi.org/10.21236/ada358295.

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Janssen, Paul, Robert Serfling, and Noel Veraverbeke. Asymptotic Normality of U-Statistics Based on Trimmed Samples. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada163346.

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Li, Ta-Hsin, Benjamin Kedem, and Sid Yakowitz. Asymptotic Normality of the Contraction Mapping Estimator for Frequency Estimation. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada453892.

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Bai, Z. D., X. R. Chen, Y. Wu, and L. C. Zhao. Asymptotic Normality of Minimum L1-Norm Estimates in Linear Models. Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada193399.

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Bailey, David H. A 'hot-spot' proof of normality for the alpha constants. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/817637.

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7

Lee, S. L. Bounds for Departure from Normality and the Frobenius Norm of Matrix Eigenvalues. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/814368.

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Lee, S. L. Bounds for departure from normality and the Frobenius norm of matrix eigenvalues. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10114083.

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Chang, H. H., and William Stout. The Asymptotic Posterior Normality of the Latent Trait in an IRT Model. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada236646.

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Christensen, Timothy M., and Xiaohong Chen. Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions. IFS, December 2014. http://dx.doi.org/10.1920/wp.cem.2014.4614.

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