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Books on the topic 'Chi square tests'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Drost, Feike Cornelis. Asymptotics for generalized chi-square goodness-of-fit tests. Centrum voor Wiskunde en Informatica, 1988.

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2

Greenwood, P. E. A guide to chi-squared testing. Wiley, 1996.

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3

Graham, G. The chi-square method to test the normality of the distribution of time and magnitude residuals of the South African National Seismological Network. Geological Survey, Dept. of Mineral and Energy Affairs, Republic of South Africa, 1987.

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4

Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-squared Goodness-of-fit Tests for Censored Data. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119427605.

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5

Srivastava, M. S. Comparison of approximate saddlepoint and saddlepoint method with Edgeworth expansion. University of Toronto, Dept. of Statistics, 1987.

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6

Apodaca, Mark. Evaluation of phase 1 screening for the 1996 Agricultural Resource Management Study. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Research Division, 1998.

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7

Yau, Wai Kwok. Approximation of tail probability of a linear combination of noncentral chi-squares by saddlepoint method. University of Toronto, Dept. of Statistics, 1988.

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8

Böhning, Dankmar. On minimizing chi-square distances under the hypothesis of homogeneity of independence for a two-way contingency table. Fachbereich Psychologie, Universität Osnabrück, 1985.

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9

Dolfi, Anna, ed. Notturni e musica nella poesia moderna. Firenze University Press, 2019. http://dx.doi.org/10.36253/978-88-6453-803-7.

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Che cos’è la notte? Come definirla e segnarne i limiti? È più o è meno mobile lo sguardo di chi la fissa; persiste nella notte la funzione cornice? In che modo la difficoltà di vedere favorisce l’invenzione artistica, l’interrogazione sull’infinito e la morte, i quesiti sull’immaginario, il sogno, il ricordo, l’oblio? Da domande come queste è partita Anna Dolfi nell’ideare un libro di grande novità e suggestione che, tra notturni e musica, si chiede come la letteratura, la pittura, il cinema, l’opera lirica, le tradizioni popolari, le canzoni, abbiano parlato di cecità e di visione, di ossessi

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10

Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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11

Balakrishnan, N., M. S. Nikulin, and Vassilly Voinov. Chi-Squared Goodness of Fit Tests with Applications. Elsevier Science & Technology Books, 2013.

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12

Chisquared Goodness Of Fit Tests With Applications. Elsevier Science Publishing Co Inc, 2012.

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13

Elwood, Mark. Chance variation. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0008.

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This chapter explains chance variation and statistical tests, including discrete and continuous measures, the concept of significance, one and two sided test, exact tests, precision and confidence limits. It shows tests of differences in proportions and chi-square tests, the Mantel-Haenszel test, and calculation of confidence limits, for simple tables and for stratified data. It covers heterogeneity tests, multiplicative and additive models, ordered exposure variables and tests of trend. It explains statistical tests for matched studies and in multivariate models. Multiple testing, the Bonferr

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14

Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

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This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particu

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15

Chi-Squared Goodness of Fit Tests with Applications. Elsevier, 2013. http://dx.doi.org/10.1016/c2011-0-05248-1.

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16

Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-Squared Goodness-of-fit Tests for Censored Data. Wiley & Sons, Incorporated, John, 2017.

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17

Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-Squared Goodness-of-fit Tests for Censored Data. Wiley & Sons, Incorporated, John, 2017.

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18

Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-Squared Goodness-of-fit Tests for Censored Data. Wiley & Sons, Incorporated, John, 2017.

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19

Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-Squared Goodness-of-fit Tests for Censored Data. Wiley & Sons, Incorporated, John, 2017.

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20

Litosseliti, Lia, ed. Research Methods in Linguistics. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350429192.

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Research Methods inLinguisticsguides the reader through the key issues, principles, and contributions of core methods in linguistic research.It is an essential resource for researchers and graduate students looking for clear introductions to key concepts, accessible discussions of theory and practice through illustrative examples and critical engagement with current debates. Topics covered include developing research questions; combining methods; quantitative research designs (including questionnaires, chi-square tests and t-tests); corpus analysis; and qualitative research methods (interview

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21

Peacock, Janet, and Philip Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2010. http://dx.doi.org/10.1093/med/9780199551286.001.0001.

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Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, using examples from published research.

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22

Fife-Schaw, Chris. Analysing categorical data. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0016.

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This chapter explores the analysis of categorical data and the chi-squared test. This includes logistic regression (how it works, and goodness of fit), the importance of predictors, and cautionary notes about the use of regression analysis. The chapter also discusses the prediction of multi-category outcome variables (multinomial logistic regression, and configural frequency analysis (CFA)).

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23

Nikulin, M. S. Some Recent Results on Chi-Squared Tests (Queen's Papers in Pure and Applied Mathematics, No. 86). Queens Univ Campus, 1991.

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24

Peacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Comparing two groups. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.003.0007.

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Chapter 7 discusses comparing two groups, and covers graphical presentation of continuous unpaired data, the two-sample t test, and the Mann-Whitney U test. It describes the use of data transformations and how results are interpreted. It shows how to compare two proportions using the chi-squared test and how to report results as differences in proportions, relative risks, and odds ratios. It includes how to calculate 95% confidence intervals for estimates. Finally, the chapter discusses the reasons for and consequences of dichotomization of continuous data and a method for dichotomization with

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25

Alexander, Peter D. G., and Malachy O. Columb. Presentation and handling of data, descriptive and inferential statistics. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0028.

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The need for any doctor to comprehend, assimilate, analyse, and form an opinion on data cannot be overestimated. This chapter examines the presentation and handling of such data and its subsequent statistical analysis. It covers the organization and description of data, measures of central tendency such as mean, median, and mode, measures of dispersion (standard deviation), and the problems of missing data. Theoretical distributions, such as the Gaussian distribution, are examined and the possibility of data transformation discussed. Inferential statistics are used as a means of comparing grou

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26

Peacock, Janet L., and Phil J. Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198743583.001.0001.

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A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics, second edition, has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a ‘statistical Bible’, this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistic

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27

Auerbach, Charles, and Wendy Zeitlin. SSD for R. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197582756.001.0001.

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Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines, including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. This book serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce readers to the various functions available in SSD for R, a new, free, and innovative software package written in R, the robust open-source statistical programming language written by the book’s authors. SSD for R has the mo

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28

Kurttekin, Fatma. On Temel Eser Örneğinde Dinî ve Ahlâkî Değerler. Edited by İshak Tekin. Oku Okut Yayınları, 2021. http://dx.doi.org/10.55709/okuokutyayinlari.3.

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Religious and Ethical Values in Example of Ten Works: The fairy tales, lullabies, stories, and novels, which are listened during childhood, affect not only our inner World but also our religious and ethical development. In this research, it is questioned that, whether the 100 Basic Works which was recommended by Ministry of Education in 2005 affect the children's religious and ethical development and how these books interpret the religious and ethical values. In this research we tried to answer these questions briefly: how the religious and ethical values were explained in these books chosed f

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29

Uma análise da percepção docente, gestora e familiar sobre a qualidade da educação básica em escolas públicas em defesa do modelo cívico-militar. Editora Acadêmica Periodicojs, 2021. http://dx.doi.org/10.51249/hp07.2021.33.

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The objective of this study was to analyze the perception of teachers, managers and family members of the municipal and state education system in a city in the Metropolitan Region of Recife / PE regarding the quality of basic education, difficulties faced, student performance and the process of implementing the civic-military model in the the public school. 64 subjects participated in the study, which were subdivided into 13 managers, 30 teachers working in elementary and high school and 21 parents / guardians of a municipal school and a state school. The instruments used for data collection w

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