{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T01:22:16Z","timestamp":1770600136059,"version":"3.49.0"},"reference-count":18,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T00:00:00Z","timestamp":1665705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Agencia Estatal de Investigaci\u00f3n and Ministerio de Ciencia e Innovaci\u00f3n","award":["PID2021-127989OB-I00"],"award-info":[{"award-number":["PID2021-127989OB-I00"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>A summary of the eleven papers published in this special issue is presented here. This volume was the last in a series of special issues dealing with symmetric and non-symmetric continuous probability distributions. The works presented in this issue propose new probabilistic models and extend the properties of other existing models in the statistical literature.<\/jats:p>","DOI":"10.3390\/sym14102143","type":"journal-article","created":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T05:08:02Z","timestamp":1665983282000},"page":"2143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Symmetric and Asymmetric Distributions: Theoretical Developments and Applications III"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5072-7908","authenticated-orcid":false,"given":"Emilio","family":"G\u00f3mez-D\u00e9niz","sequence":"first","affiliation":[{"name":"Department of Quantitative Methods and TIDES Institute, University of Las Palmas de Gran Canaria, Campus de Tafira s\/n, 35017 Las Palmas de Gran Canaria, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6364-627X","authenticated-orcid":false,"given":"Enrique","family":"Calder\u00edn-Ojeda","sequence":"additional","affiliation":[{"name":"Centre for Actuarial Studies, Department of Economics, The University of Melbourne, Parkville, VIC 3010, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3726-5507","authenticated-orcid":false,"given":"H\u00e9ctor W.","family":"G\u00f3mez","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Antofagasta, Antofagasta 1240000, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,14]]},"reference":[{"key":"ref_1","first-page":"171","article-title":"A class of distributions which includes the normal ones","volume":"12","author":"Azzalini","year":"1985","journal-title":"Scand. J. Stat."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF02602999","article-title":"Families of distributions arising from distributions of order statistics","volume":"13","author":"Jones","year":"2004","journal-title":"Test"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1093\/biomet\/asp053","article-title":"Sinh-arcsinh distributions","volume":"96","author":"Jones","year":"2009","journal-title":"Biometrika"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1093\/biomet\/84.3.641","article-title":"A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families","volume":"84","author":"Marshall","year":"1997","journal-title":"Biometrika"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"G\u00f3mez-D\u00e9niz, E., Calder\u00edn-Ojeda, E., and G\u00f3mez, H.W. (2022). Asymmetric versus Symmetric Binary Regresion: A New Proposal with Applications. Symmetry, 14.","DOI":"10.3390\/sym14040733"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Reyes, J., Cort\u00e9s, P.L., Rojas, M.A., and Arru\u00e9, J. (2022). A More Flexible Reliability Model Based on the Gompertz Function and the Generalized Integro-Exponential Function. Symmetry, 14.","DOI":"10.3390\/sym14061207"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"El-Morshedy, M., El-Faheem, A.A., Al-Bossly, A., and El-Dawoody, M. (2022). Exponentiated Generalized Inverted Gompertz Distribution: Properties and Estimation Methods with Applications to Symmetric and Asymmetric Data. Symmetry, 13.","DOI":"10.3390\/sym13101868"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Mor\u00e1n-V\u00e1squez, R.A., Cata\u00f1o, D.H., and Nagar, D.K. (2022). Some Results on the Truncated Multivariate Skew-Normal Distribution. Symmetry, 14.","DOI":"10.3390\/sym14050970"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"De la Cruz, R., Salinas, H.S., and Meza, C. (2022). Reliability Estimation for Stress-Strength Model Based on Unit-Half-Normal Distribution. Symmetry, 14.","DOI":"10.3390\/sym14040837"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Lagos-\u00c1lvarez, B., Jerez-Lillo, B., Navarrete, J.P., Figueroa-Z\u00fa\u00f1iga, J., and Leiva, V. (2022). A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data. Symmetry, 14.","DOI":"10.3390\/sym14040655"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-Fl\u00f3rez, G., Vergara-Cardozo, S., and Tovar-Fal\u00f3n, R. (2022). A Class of Exponentiated Regression Model for Non Negative Censored Data with an Application to Antibody Response to Vaccine. Symmetry, 13.","DOI":"10.3390\/sym13081419"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-Flores, G., Bolfarine, H., and G\u00f3mez, Y. (2021). The Skewed-Elliptical Log-Linear Birnbaum\u2013Saunders Alpha-Power Model. Symmetry, 13.","DOI":"10.3390\/sym13071297"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Iriarte, Y.A., Castro, M., and G\u00f3mez, H.W. (2021). An Alternative One-Parameter Distribution for Bounded Data Modeling Generated from the Lambert Transformation. Symmetry, 13.","DOI":"10.3390\/sym13071190"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Rivera, P., Calder\u00edn-Ojeda, E., and Gallardo, D.I. (2021). A Compound Class of the Inverse Gamma and Power Series Distributions. Symmetry, 13.","DOI":"10.3390\/sym13081328"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"G\u00f3mez, H.J., Gallardo, D.I., and Santoro, K.I. (2021). Slash Truncation Positive Normal Distribution and Its Estimation Based on the EM Algorithm. Symmetry, 13.","DOI":"10.3390\/sym13112164"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1017\/asb.2015.9","article-title":"Modelling insurance data with the Pareto ArcTan distribution","volume":"45","year":"2015","journal-title":"ASTIN Bull."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1111\/j.1744-7348.1935.tb07713.x","article-title":"The calculation of the dosage-mortality curve","volume":"22","author":"Bliss","year":"1935","journal-title":"Ann. Appl. Biol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"761","DOI":"10.2307\/2529262","article-title":"A generalization of the probit and logit methods for dose-response curves","volume":"32","author":"Prentice","year":"1976","journal-title":"Biometrika"}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/14\/10\/2143\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:53:44Z","timestamp":1760144024000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/14\/10\/2143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,14]]},"references-count":18,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["sym14102143"],"URL":"https:\/\/doi.org\/10.3390\/sym14102143","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,14]]}}}