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Method to make a decorative element which can be applied on surfaces, comprising a step (22, 26) of making a decorative layer (12) made of high quality materials, metal or non-metal, such as precious materials or precious or noble metals and their alloys on a support layer (11) in order to define a desired design or graphic motif, wherein at least a sub-step (22) is provided of depositing the high quality material by means of a physical vapor deposition (PVD) technique chosen from a group comprising; heat evaporation, electronic beam evaporation, or magnetron sputtering.

Olonite Proportional Allocation Method (OPAM) is a method used to allocate sample to strata based on the strata variances and similar sampling in the strata. An Olonite allocation scheme provides the most precision for estimating a population mean given a fixed total sample. it can be used to select sample from Organizations, Countries, States that has scattered branches. It was developed as a solution to the short comings of the Bowler’s Proportional Allocation Method. The OPAM advocates for the use of the Olonite Sampling Technique (OST) to sample from each stratum of a strata. In this case, the strata can be seen an Organization, State, Country, etc while the stratum represents departments, Cities, States respectively, etc. OPAM asserts that the higher the population, the higher the sample should be per branch, departments, etc, this will give an average equal representation for each stratum to be considered and selected. The Olonite Proportional Allocation Method helps to reduce time wastage while trying to appropriate a perfect set i.e. Organizations having the same no of departments and staff. Olonite Allocation is always the best proportional allocation method (since Olonite Allocation is optimal). Oluyemi Ayodele OLONITE

Olonite 2/3.5 Rule (O2/3.5R) is a selection rule employed to reduce the stress of researchers who are to sample a large population while maintaining the optimal selection from the large population. Using a three sampling/selection techniques, the result showed that the Olonite 2/3.5 Rule gives a more flexible result for researchers as seen in table 1. The rule provides the most precision for estimating a population as it supports the 1/2 and 2.3 rule. Olonite Rule is always the best rule when a population is large and a researcher must sample the required size taking into consideration, the optimum sampling size which should be half of the total population and a little bit above. The rule states: “the closer a sample size to its total population, the more reliance the result”. The rule is recommended to be used all over institutions and world. It is time to appreciate the Olonite 2/3.5 Rule in Academics and for sampling purposes. Oluyemi Ayodele OLONITE