The saddlepoint approximation gives an to the density of a random variable in terms its moment generating function. When underlying is itself sum n unobserved i.i.d. terms, basic classical result that relative error order 1/n. If instead interpreted as likelihood and maximised function model parameters, maximum estimate (MLE) can be much faster compute than true MLE. This paper proves analogous...

In matrix-valued datasets the sampled matrices often exhibit correlations among both their rows and columns. A useful parsimonious model of such dependence is matrix normal model, in which covariances elements a random are parameterized terms Kronecker product two covariance matrices, one representing row column covariance. An appealing feature that structure allows for standard likelihood infe...

Early establishment of shallot growth is important in order to ensure optimum yield. This study aimed evaluate the effect seed priming with moringa leaf extract (MLE) and application Tithonia compost on shallots. The research was conducted at experimental farm belonging Faculty Agriculture, Hasanuddin University, Makassar, from September December 2022. arranged a factorial design three replicat...

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the agencies. Abstract This paper presents a scan statistic, progressive upper level set (PULSE) scan statistic, for geospatial hotspot detection and its software implementation. Like ULS, the PULSE scan statistic is based on the arbitraril...

Consider the MLEs (maximum likelihood estimators) of the parameters of the Gumbel distribution using SRS (simple random sample) and RSS (ranked set sample) and the MOMEs (method of moment estimators) and REGs (regression estimators) based on SRS. A comparison between these estimators using bias and MSE (mean square error) was performed using simulation. It appears that the MLE based on RSS can ...

We establish global rates of convergence for the Maximum Likelihood Estimators (MLEs) of log-concave and s-concave densities on ℝ. The main finding is that the rate of convergence of the MLE in the Hellinger metric is no worse than n-2/5 when -1 < s < ∞ where s = 0 corresponds to the log-concave case. We also show that the MLE does not exist for the classes of s-concave densities with s < -1.

This paper aims to contribute the study of Multicultural London English (MLE) by focusing on perceptions MLE speakers their own linguistic production and, also, exploring reactions and responses this variety in British press social media. The results indicate that most feel they use a kind slang. majority accounts found media depict as foreign, associated with grime music bad behaviour. Opinion...