Article
Selection between Weibull and lognormal distributions: A comparative simulation study
Department of Industrial Engineering, Korea Advanced Institute of Science and Technology, 3731, GuseongDong, YuseongGu, Daejeon, 305701, Republic of Korea
Computational Statistics & Data Analysis (Impact Factor: 1.15). 12/2008; 53(2):477485. DOI: 10.1016/j.csda.2008.08.012 Source: RePEc

Article: Trajectory Generation Methods
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ABSTRACT: Hand written object [HO] verification is the process used to recognize an individual, is intuitive reliable indicator which can be character recognition, handwriting verification, style classification, shape recognition and signature recognition. This paper discusses the trajectory generation [TG] methods, as novel methods to deal interclass and intraclass variations. Index Terms—Lognormal model, Betaelliptical model. 
Article: The beta lognormal distribution
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ABSTRACT: For the first time, we introduce the beta lognormal (LN) distribution for which the LN distribution is a special case. Various properties of the new distribution are discussed. Expansions for the cumulative distribution and density functions that do not involve complicated functions are derived. We obtain expressions for its moments and for the moments of order statistics. The estimation of parameters is approached by the method of maximum likelihood, and the expected information matrix is derived. The new model is quite flexible in analysing positive data as an important alternative to the gamma, Weibull, generalized exponential, beta exponential, and Birnbaum–Saunders distributions. The flexibility of the new distribution is illustrated in an application to a real data set.Journal of Statistical Computation and Simulation 07/2011; iFirst(2011). · 0.71 Impact Factor  [Show abstract] [Hide abstract]
ABSTRACT: In online applications, there is a foreseeable explosive growth in biometric personal authentication systems which are covenant with a measurable behavioral trait. Hand written object [HO] verification is the process used to recognize an individual, which is intuitive reliable indicator. Verification of a HO as a biometric modality still is a challenging field of research, as number of online and offline commercial applications use modern acquisition devices. The employment of HO verification with technology still remains open for novel methods due to interclass and intraclass variations. This paper discusses the trajectory generation [TG] methods applicable for any HO verification, such as character recognition, handwriting verification, style classification, shape recognition and signature recognition, which are suitable for latest trend of mobilecommerce and webcommerce applications.01/2009;
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