Relevant bibliographies by topics / BOX-COX

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Academic literature on the topic 'BOX-COX'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "BOX-COX"

1

Gaudry, Marc, and Richard Laferriére. "The box-cox transformation." Economics Letters 30, no. 1 (1989): 27–29. http://dx.doi.org/10.1016/0165-1765(89)90151-1.

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DUKE, JAMES A. "Clippings from My COX Box." Journal of Medicinal Food 1, no. 4 (1998): 293–98. http://dx.doi.org/10.1089/jmf.1998.1.293.

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Fitzenberger, Bernd, Ralf A. Wilke, and Xuan Zhang. "Implementing Box–Cox Quantile Regression." Econometric Reviews 29, no. 2 (2009): 158–81. http://dx.doi.org/10.1080/07474930903382166.

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Hooper, Peter M., and Zhenlin Yang. "Confidence intervals following Box-Cox transformation." Canadian Journal of Statistics 25, no. 3 (1997): 401–16. http://dx.doi.org/10.2307/3315787.

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Miyazaki, Koichi. "Box-Cox Transformation and Option Pricing." Japanese journal of applied statistics 34, no. 2 (2005): 75–97. http://dx.doi.org/10.5023/jappstat.34.75.

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Jones, Andrew M., and Steven T. Yen. "A Box-Cox Double-hurdle Model." Manchester School 68, no. 2 (2000): 203–21. http://dx.doi.org/10.1111/1467-9957.00190.

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Kim, Choongrak, Barry E. Storer, and Meeseon Jeong. "Note on Box-Cox Transformation Diagnostics." Technometrics 38, no. 2 (1996): 178–80. http://dx.doi.org/10.1080/00401706.1996.10484463.

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Zhang, Tonglin, and Baijian Yang. "Box–Cox Transformation in Big Data." Technometrics 59, no. 2 (2017): 189–201. http://dx.doi.org/10.1080/00401706.2016.1156025.

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Yang, Runqing, Nengjun Yi, and Shizhong Xu. "Box–Cox transformation for QTL mapping." Genetica 128, no. 1-3 (2006): 133–43. http://dx.doi.org/10.1007/s10709-005-5577-z.

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Lindsey, Charles, and Simon Sheather. "Power Transformation via Multivariate Box–Cox." Stata Journal: Promoting communications on statistics and Stata 10, no. 1 (2010): 69–81. http://dx.doi.org/10.1177/1536867x1001000108.

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Dissertations / Theses on the topic "BOX-COX"

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Almohaimeed, Amani Mohammed. "Box-Cox-type transformations for linear and logistic models with random effects." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12831/.

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Random effect models have become a mainstream statistical technique over the last decades; and the same can be said for response transformation models such as the Box-Cox transformation. The latter ensures that the assumptions of normality and of homoscedasticity of the response distribution are fulfilled, which are essential conditions for the use of a linear model or a linear mixed model. However, methodology for response transformation and simultaneous inclusion of random effects has been developed and implemented only scarcely, and is so far restricted to Gaussian random effects. The first
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Reis, Cássio Pinho dos. "Delineamentos ótimos visando a possibilidade de transformação na variável resposta." Botucatu, 2019. http://hdl.handle.net/11449/181371.

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Orientador: Luzia Aparecida Trinca<br>Resumo: Nas mais diversas áreas do conhecimento se procura aumentar a eficiência dos delineamentos experimentais, principalmente, para minimizar os custos das pesquisas. O uso dos delineamentos ótimos, com seus diferentes critérios de otimização, é fundamental para se obter resultados que maximizam a informação em estudos experimentais. A maioria dos métodos pressupõe homogeneidade de variâncias, a qual nem sempre é veri cada no conjunto de dados. O objetivo deste trabalho é desenvolver uma metodologia para construção de delineamentos ótimos exatos e cient
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Samaniego, Juana Rosa Lindo. "Abordagem clássica e bayesiana em modelos auto-regressivos com transformações de Box & Cox." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18062015-110335/.

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Atualmente as projeções de demanda e ganho tornam-se variáveis importantes no processo de tomada de decisões para investimentos envolvendo custo e capital, em pesquisa de mercado envolvendo produtos de consumo, em pesquisa de populações e em qualquer outro tipo de previsões que tenham a ver com ganhos ou demandas futuras, por exemplo o volume de água que é preciso para ser gerada determinada quantidade de energia consumido por uma população através de um sistema de operação e planejamento de um sistema hidroelétrico, etc. Em resposta desse interesse muitos estudos examinaram a possibilidade de
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Luo, Yabing. "A Correlation-Based Method to Detect Weak Dependence." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2479.

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The focus of this thesis is an investigation of ways to detect weak dependence between two random variables X and Y. Our approach is to design tests for correlation rather than testing for dependence directly, since X and Y are not independent if they are not uncorrelated. We examined the magnified Pearson correlation after the Box-Cox transformation to determine whether X and Y are dependent. The results indicated that our approach not only has the potential to detect and evaluate the weak dependence cases that have previously been intractable, but also is conceptually simple and easy to impl
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Couto, Mara Rubia Machado. "Transformação de dados com excesso de zero em experimentos com culturas olerícolas." Universidade Federal de Santa Maria, 2008. http://repositorio.ufsm.br/handle/1/4982.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>In olericulture, the highest interest is aimed at the production of commercial fruits. These experiments usually evaluate variables such as phytomass and number of fruits. However, these variables present a peculiar characteristic related to their presence or absence at the moment of harvesting. This attribute is represented by the occurrence of zero values for these variables, generating some variability and affecting the data variation analysis. In this study, experiments with summer squash, sweet pepper and broccoli were analy
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Zhou, Yahong. "Estimation of transformation models, generalized bivariate probit models, and box-cox partially linear models : three essays in microeconomics /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ECON%202005%20ZHOU.

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Miranda, Gislane Natália de Souza. "Transformação de box-cox e escores de blom para correção da heterogeneidade de variâncias do peso de bovinos." Universidade Federal de Viçosa, 2013. http://locus.ufv.br/handle/123456789/4068.

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Made available in DSpace on 2015-03-26T13:32:19Z (GMT). No. of bitstreams: 1 texto completo.pdf: 508483 bytes, checksum: ed19e15dac174ba29cb7068c7f83a289 (MD5) Previous issue date: 2013-04-26<br>The objective of this work was to verify the efficiency of Box-Cox and Blom scores transformations in correcting the phenotypic heterogeneity of variance adjusted weights of cattle Tabapuã the Brazilian Northeast to the factors producing regions, ages and sex. We used data Tabapuã the Brazilian Northeast, collected from 1970, from the control of weight development Brazilian Association of Zebu Breede
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Volfson, Alexander. "Exploring the optimal Transformation for Volatility." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/472.

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This paper explores the fit of a stochastic volatility model, in which the Box-Cox transformation of the squared volatility follows an autoregressive Gaussian distribution, to the continuously compounded daily returns of the Australian stock index. Estimation was difficult, and over-fitting likely, because more variables are present than data. We developed a revised model that held a couple of these variables fixed and then, further, a model which reduced the number of variables significantly by grouping trading days. A Metropolis-Hastings algorithm was used to simulate the joint density and d
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Vidová, Katarína. "Statistické vlastnosti regulačních diagramů a modelů způsobilosti." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417799.

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The diploma thesis is focused on process stability and capability assessment. It describes certain types of control charts, basic capability indices as well as Box-Cox transformation. The practical part of the study is concerned with applying control charts on generated data and consequently on real data. By this, it focuses on comparing various methods of estimating sample standard deviation and on the impact of non-compliance with the assumption of normal distribution of process variable on process stability and capability assessment.
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Modesto, Lidiane de Almeida. "A demanda por moeda no Brasil no período 1974-2008: estimativas sob expectativas adaptativas e racionais." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=3345.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>O objetivo principal desta dissertação é analisar a demanda por moeda no Brasil no período 1974 a 2008, lembrando que ele inclui sub-períodos de inflação elevada, e baixa, e levando em conta hipóteses alternativas quanto à formação de expectativas. A especificação adotada é a de Tourinho (1995), que generaliza a de Cagan (1956) para permitir uma forma funcional mais flexível e incorporar outras variáveis, além da inflação esperada, como variáveis explicativas. Verifica-se que estas extensões são importantes para modelar a demanda p
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Books on the topic "BOX-COX"

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Chetwin, Grace. Box and Cox. Bradbury Press, 1990.

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ill, Small David 1945, ed. Box and Cox. Bradbury Press, 1990.

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Kemp, Gordon C. R. Scale equivalence and the Box-Cox transformation. University of Essex, Dept. of Economics, 1996.

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Kemp, Gordon C. R. Scale equivalence and the Box-Cox transformation. Essex University, Department of Economics, 1998.

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Morton, John Maddison. Box and Cox: A romance of real life. S. French, 1990.

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Wooldridge, Jeffrey M. Some alternatives to the Box-Cox regression model. Department of Economics, Massachusetts Institute of Technology, 1989.

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Fitzenberger, Bernd. New insights on unemployment duration and post unemployment earnings in Germany: Censored box-cox quantile regression at work. IZA, 2007.

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Cheng, Russell. Box-Cox Transformations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0010.

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This chapter examines the well-known Box-Cox method, which transforms a sample of non-normal observations into approximately normal form. Two non-standard aspects are highlighted. First, the likelihood of the transformed sample has an unbounded maximum, so that the maximum likelihood estimate is not consistent. The usually suggested remedy is to assume grouped data so that the sample becomes multinomial. An alternative method is described that uses a modified likelihood similar to the spacings function. This eliminates the infinite likelihood problem. The second problem is that the power trans
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C, Burnand F. Cox and Box. Franklin Classics, 2018.

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The Cox Box. DK ADULT, 2005.

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Book chapters on the topic "BOX-COX"

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Trebitsch, Siegfried. "Box and Cox." In Shaw. Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-05402-2_93.

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Daimon, Takashi. "Box–Cox Transformation." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_152.

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Daimon, Takashi. "Box-Cox Transformation." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69359-9_79.

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Marazzi, A., and V. J. Yohai. "Robust Box-Cox Transformations for Simple Regression." In Theory and Applications of Recent Robust Methods. Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7958-3_16.

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Gonçalves, Rui. "Inverse Box-Cox and the Power Normal Distribution." In Innovation, Engineering and Entrepreneurship. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91334-6_110.

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Fokianos, Konstantinos. "Box—Cox Transformation for Semiparametric Comparison of Two Samples." In Contributions to Statistics. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57410-8_12.

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Ishak, Nur Aufa Mazni, and Sanizah Ahmad. "Box-Cox Optimal Parameter Estimation for Multiple Regressions with Homoscedasticity." In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016). Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0074-5_103.

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Griffith, Daniel A., Jean H. P. Paelinck, and Reinaud A. van Gastel. "The Box-Cox Transformation: Computational and Interpretation Features of the Parameters." In Econometric Advances in Spatial Modelling and Methodology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2899-6_5.

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Perumal, M., R. D. Singh, and S. M. Seth. "Flood Frequency Analysis Using Box-Cox Transformation Based Gumbel EV-I Distribution." In Hydrologic Frequency Modeling. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3953-0_10.

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Gianola, D., S. Im, R. L. Fernando, and J. L. Foulley. "Mixed Model Methodology and the Box-Cox Theory of Transformations: A Bayesian Approach." In Advances in Statistical Methods for Genetic Improvement of Livestock. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74487-7_2.

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Conference papers on the topic "BOX-COX"

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Sakib, Nazmus, Mohammad Anwar Hosen, Burhan Khan, Bruce Gunn, and Michael Johnstone. "Enhancing Biogas Energy Production Forecasting with Box-Cox Transformation and Prediction Interval Methods." In 2025 IEEE International systems Conference (SysCon). IEEE, 2025. https://doi.org/10.1109/syscon64521.2025.11014866.

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Cieleń, G., E. F. Knol, M. S. Lopes, and E. Sell-Kubiak. "790. To Box-Cox or not to Box-Cox: phenotypic and genomic evaluation of litter size variability in Landrace pigs." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_790.

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FIGUEIREDO, FERNANDA OTILIA, and MARIA IVETTE GOMES. "BOX-COX TRANSFORMATIONS AND ROBUST CONTROL CHARTS IN SPC." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774187_0004.

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Orro, Alfonso, Margarita Novales, Francisco G. Benitez, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Box-Cox Mixed Logit Model for Travel Behavior Analysis." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498568.

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Ma, Yaohui, Qiuhui Ma, Hong Zhang, Yong Zhang, and Ying Zheng. "Improved Box-Cox Transformation Based Residual Life Predictions for Bearings." In 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020. http://dx.doi.org/10.1109/ddcls49620.2020.9275142.

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Gonçalves, Rui. "Exact maximum likelihood estimation of the box-cox transformation parameter." In SIXTH INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0175370.

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Gonçalves, Rui. "Exact vs approximated ML estimation for the box-cox transformation." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: ICNAAM2022. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0211637.

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Rios, Gonzalo, and Felipe Tobar. "Learning non-Gaussian Time Series using the Box-Cox Gaussian Process." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489648.

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Xu, Jianguo, Mengjun Li, Minghao Li, Qingsong Zhao, and Bingfeng Ge. "Temporal Impact Analysis for Technological Innovation Based on Box-Cox Transformation." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00048.

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Fang, Huayi, Baijian Yang, and Tonglin Zhang. "Finding the best box-cox transformation from massive datasets on spark." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258264.

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