Ox is an object-oriented matrix programming language with a comprehensive mathematical and statistical function library. Matrices can be used directly in expressions, for example to multiply two matrices, or to invert a matrix. The major features of Ox are its speed, extensive library, and well-designed syntax, which leads to programs which are easier to maintain. For a first impression of the matrix and statistical function library see the Function summary. Versions of Ox are available for many platforms.

References in zbMATH (referenced in 205 articles )

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  1. Santos, Cristiano C.; Loschi, Rosangela H.: Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression (2017)
  2. Bollerslev, Tim; Patton, Andrew J.; Quaedvlieg, Rogier: Exploiting the errors: a simple approach for improved volatility forecasting (2016)
  3. Cordeiro, Gauss M.; Silva, Giovana O.; Ortega, Edwin M.M.: An extended-G geometric family (2016)
  4. de la Torre, Jimmy; Chiu, Chia-Yi: A general method of empirical Q-matrix validation (2016)
  5. Dias, Cícero R.B.; Cordeiro, Gauss M.; Alizadeh, Morad; Diniz Marinho, Pedro Rafael; Campos Co^elho, Hemílio Fernandes: Exponentiated Marshall-Olkin family of distributions (2016)
  6. Hasegawa, Hikaru; Ueda, Kazuhiro: Multidimensional inequality for current status of Japanese private companies’ employees (2016)
  7. Hong, Chen-Yu; Chang, Yu-Wei; Tsai, Rung-Ching: Estimation of generalized DINA model with order restrictions (2016)
  8. Kobayashi, Genya: Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles (2016)
  9. Lanjoni, Beatriz R.; Ortega, Edwin M.M.; Cordeiro, Gauss M.: Extended Burr XII regression models: theory and applications (2016)
  10. Leão, Jeremias; Cysneiros, Francisco; Saulo, Helton; Balakrishnan, N.: Constrained test in linear models with multivariate power exponential distribution (2016)
  11. Alizadeh, Morad; Cordeiro, Gauss M.; de Brito, Edleide; Demétrio, Clarice Garcia B.: The beta Marshall-Olkin family of distributions (2015)
  12. Alizadeh, Morad; Tahir, M.H.; Cordeiro, Gauss M.; Mansoor, M.; Zubair, M.; Hamedani, G.G.: The Kumaraswamy Marshal-Olkin family of distributions (2015)
  13. Bayer, Fábio M.; Cribari-Neto, Francisco: Bootstrap-based model selection criteria for beta regressions (2015)
  14. Boswijk, H.Peter; Jansson, Michael; Nielsen, Morten Ørregaard: Improved likelihood ratio tests for cointegration rank in the VAR model (2015)
  15. Cavaliere, Giuseppe; Nielsen, Morten Ørregaard; Taylor, A.M.Robert: Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets (2015)
  16. de Castro, Mário; Galea, Manuel: Inference in a structural heteroskedastic calibration model (2015)
  17. Doornik, Jurgen A.: Numerical evaluation of the Gauss hypergeometric function by power summations (2015)
  18. Hashimoto, Elizabeth M.; Ortega, Edwin M.M.; Cordeiro, Gauss M.; Cancho, Vicente G.: A new long-term survival model with interval-censored data (2015)
  19. Huo, Yan; de la Torre, Jimmy; Mun, Eun-Young; Kim, Su-Young; Ray, Anne E.; Jiao, Yang; White, Helene R.: A hierarchical multi-unidimensional IRT approach for analyzing sparse, multi-group data for integrative data analysis (2015)
  20. Xiao, Yuewen; Ku, Yu-Cheng; Bloomfield, Peter; Ghosh, Sujit K.: On the degrees of freedom in MCMC-based Wishart models for time series data (2015)

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