Modeling of soybean yield using symmetric, asymmetric and bimodal distributions: implications for crop insurance
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Publication:5036459
DOI10.1080/02664763.2017.1406902OpenAlexW2768700848MaRDI QIDQ5036459
Daniel L. Miquelluti, Altemir Braga, Vitor A. Ozaki, Gislaine V. Duarte
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2017.1406902
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Cites Work
- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- Generalized beta-generated distributions
- Estimating the dimension of a model
- The odd log-logistic logarithmic generated family of distributions with applications in different areas
- The odd log-logistic normal distribution: theory and applications in analysis of experiments
- A new family of distributions: the Kumaraswamy odd log-logistic, properties and applications
- Bayesian ratemaking procedure of crop insurance contracts with skewed distribution
- On a measure of lack of fit in time series models
- BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONS
- The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis
- A new look at the statistical model identification
- Unnamed Item
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