1. In poultry investigations, the main interest is often to study the effects of many factors simultaneously. Two or three level factorial designs are the most commonly used for this type of investigation. However, it is often too costly to perform when number of factors increase. So a fractional factorial design, which is a subset or a fraction of a full factorial design, is an alternative. Th...

The challenge in developing oral drug delivery systems of poorly soluble basic drugs is primarily due to their pH dependent solubility. Cinnarizine (CNZ), a model for a poorly soluble basic drug, has pH dependent solubility; where it dissolves readily at low pH in the stomach and exhibits a very low solubility at pH values greater than 4. It is also characterized by a short half life of 3-6h, w...

in this study, the possibility of producing coal with less than 11% ash from tailings of flotation process was investigated. the effect of six flotation parameters: collector type, collector consumption, frother type, frother consumption, pulp density and mixing rate were studied on a sample from a tailing dam. a software based experimental design approach (dx7) was applied to determine and mod...

the present study was aimed to develop and validate a high performace liquid chromatography method for determination of thiocolchicoside and dexketoprofen trometamol in combined dosage form. the proposed hplc method utilizes an agilent eclipse c-8 column (5 µm, 250×4.6 mm) at ambient temperature. a 23 full factorial design was performed for optimization of mobile phase for separation of two dru...

in order to enhance in vitro dissolution and content uniformity of poorly soluble drug glimepiride by preparing solid dispersions using modified solvent fusion method, solid dispersions of drug were prepared by modified fusion solvent method using peg 6000 and pvp k25 (as carrier). eight batches (f1-f8) were prepared by factorial design (23) by taking three factors i.e. the concentration of: dr...

Statistically independent features can be extracted by nding a factorial representation of a signal distribution. Principal Component Analysis (PCA) accomplishes this for linear correlated and Gaussian distributed signals. Independent Component Analysis (ICA), formalized by Comon (1994), extracts features in the case of linear statistical dependent but not necessarily Gaussian distributed signa...

In this paper, we describe the use of advanced statistical design in the screening experiment to configure parameters and operators of genetic algorithm (GA), which applied to find a shortest distance in a classical travelling salesman problem (TSP). Due to the number of GA parameters, operators and its levels considered in the experiment, the total numbers of program executions required by the...

This document contains proofs and additional experiments for the paper " The Falling Factorial Basis and Its Statistical Applications ". In Section A, we provide proofs to the key technical results in the main paper. In Section B, we give some motivating arguments and additional experiments for the higher order KS test.

Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network intrusion detection to clinical diagnosis of diseases. Over the last decade of research, distance-based outlier detection algorithms have emerged as a viable, scalable, parameter-free alternative to the more traditional ...

OBJECTIVES Discrete choice experiments (DCEs) are routinely used to elicit patient preferences to improve health outcomes and healthcare services. While many fractional factorial designs can be created, some are more statistically optimal than others. The objective of this simulation study was to investigate how varying the number of (1) attributes, (2) levels within attributes, (3) alternative...