This is an "11 factor-2 level-12 run" Plackett-Burman experimental design dataset. The dataset includes 11 engineering bioreactor parameters as input variables. These 11 factors were varied at 2 levels and 23 response variables that are glycan profile attributes, were measured "A Design Space Exploration for Control of Critical Quality Attributes of mAb" (H. Bhatia, E.K. Read, C.D. Agarabi, K.A...

The CUB model is a mixture distribution recently proposed in literature for modelling ordinal data. In this article we investigate how this univariate distribution can be exploited in order to model the margins of multivariate ordinal data. In particular, we take the theory of discrete copula into consideration and we show how use the Plackett distribution in order to construct a one parameter ...

Mixture models of Plackett-Luce (PL), one the most fundamental ranking models, are an active research area both theoretical and practical significance. Most previously proposed parameter estimation algorithms instantiate EM algorithm, often with random initialization. However, such initialization scheme may not yield a good initial estimate require multiple restarts, incurring large time comple...

Multinomial logistic regression is one of the most popular models for modelling the effect of explanatory variables on a subject choice between a set of specified options. This model has found numerous applications in machine learning, psychology or economy. Bayesian inference in this model is non trivial and requires, either to resort to a MetropolisHastings algorithm, or rejection sampling wi...

In the analysis of dependence of bivariate correlated failure time data, a popular model is a gamma frailty model proposed by Clayton and Oakes. An alternative approach is using a Plackett distribution, whose dependence parameter has a very appealing odds ratio interpretation for dependence between the two failure times. In this article, we develop novel semiparametric estimation and inference ...

a soil bacterium capable of degrading chitin on chitin agar plates was isolated and identified as bacillus pumilus isolate u5 on the basis of 16s rdna sequence analysis. in order to optimize culture conditions for chitinase production by this bacterium, a two step approach was employed. first, the effects of several medium components were studied using the plackett-burman design. among various ...

In this study, CO2 sequestration was investigated through the microbially-induced calcium carbonate precipitation (MICP) process with isolates obtained from a cave called 'Cave Without A Name' (Boerne, TX, USA) and the Pamukkale travertines (Denizli, Turkey). The majority of the bacterial isolates obtained from these habitats belonged to the genera Sporosarcina, Brevundimonas, Sphingobacterium ...

Preference learning is an emerging subfield of machine learning, which deals with the induction of preference models from observed or revealed preference information [2]. Such models are typically used for prediction purposes, for example, to predict context-dependent preferences of individuals on various choice alternatives. Depending on the representation of preferences, individuals, alternat...

In the present study, Plackett–Burman design (PBD) followed by response surface methodology (RSM) was used to optimize the culture medium composition for laccase production from Pleurotus ostreatus IMI 395545. Influence of carbon, nitrogen (sources) and inducer were evaluated by Plackett–Burman design. The factors that induce positive effect on enzyme production were further optimized using cen...