Research ArticleOpen accessIn the keywordsEquity Valuation with the Use of MultiplesStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Equity valuation with the use of multiples is widely used by academics and practitioners concerning its functionality. This study aims to explore the sensitivity of three multiples in terms of bias. Approach: The three multiples under consideration are the Price-To-Sales (P/S) multiple, the Price-To-Book value of equity (P/B) multiple and the Price-To-Earnings (P/E) multiple using both current and … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign of A Microwave Amplifier for Wireless ApplicationM. Habib Ullah, Badariah Bais, Norbahiah Misran et al.Problem statement: Low-Noise Amplifiers (LNA) are very indispensable components in the design of numerous types of communication receivers employed in microwave technology. This paper is presents the design and development of low bias(Vce = 8v, Ic =10 mA) single stage low noise microwave amplifier operating in 1.5GHZ frequency range, Gain 13dB ± 0.5dB, input/output return loss < -10dB, noise figure … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 3 Nov 2011 · 8,224 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign For Test Technique for Leakage Power Reduction in Nanoscale Static Random Access MemoryN. M. Sivamangai, GunavathiProblem statement: As technology scales down, the integration density of transistors increases and most of the power is dissipated as leakage. Leakage power reduction is achieved in Static Random Access Memory (SRAM) cells by increasing the source voltage (source biasing) of the SRAM array. Another promising issue in nanoscaled devices is the process parameter variations. Due to these variations, higher … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,505 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBootstrap Method for Dependent Data Structure and Measure of Statistical PrecisionT. O. Olatayo, G. N. Amahia, T. O. ObiladeProblem statement: This article emphasized on the construction of valid inferential procedures for an estimator θ^ as a measure of its statistical precision for dependent data structure. Approach: The truncated geometric bootstrap estimates of standard error and other measures of statistical precision such as bias, coefficient of variation, ratio and root mean square error are considered. Results: We extend it … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRanking of Simultaneous Equation Techniques to Small Sample Properties and Correlated Random DeviatesA. A. Adepoju, J. O. OlaomiProblem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,594 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSample Selection Analysis of Wage Equation for Women In Ondo State NigeriaSola Olorunfemi, Olorunsola E. OlowofesoThe study analysis wage equation for women in Ondo State Nigeria, in other to identify the determinant factors of their wages. Data collected from 250 women heads of households through a multi-stage random system technique were analyzed. In order to deal with the zero wage problem associated with those who did not work, various single – equation models were applied. … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 7,557 accessesView PDFCite
Research ArticleOpen accessIn the keywordsData Quality and IndicatorsJorge Matute, A.P. GuptaThis study highlights the importance of collecting good quality data from multidisciplinary studies. Bias in data may be the result of instrument inaccuracies, imprecise data recording techniques, inaccurate data entry to computers or inappropriate statistical analysis and presentation. Recommendations for good data quality control are given. Different types of data are discussed: raw data, simple indicators and complex indicators. It … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 1 · 31 Mar 2007 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NEW FAMILY OF GENERALIZED GAMMA DISTRIBUTION AND ITS APPLICATIONSatsayamon Suksaengrakcharoen, Winai BodhisuwanThe mixture distribution is defined as one of the most important ways to obtain new probability distributions in applied probability and several research areas. According to the previous reason, we have been looking for more flexible alternative to the lifetime data. Therefore, we introduced a new mixed distribution, namely the Mixture Generalized Gamma (MGG) distribution, which is obtained by mixing … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 9 Apr 2014 · 7,930 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Bacterial Chromosomal Sequence and Related IssuesThi Huyen Phan, Duc Luong NguyenThere has been a rapid increasing in the number of bacterial genomes that are completely sequenced recently. However, nucleotide arrangement in bacterial chromosome is still not clear, though it is known that the chromosomal strand is symmetric as a whole but asymmetric locally. The unequal distribution of adenine and thymine as well as cytosine and guanine in the local genomic … …Current Research in Virology, Vol. 2, Issue 1 · 29 Jul 2013 · 13,208 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWill Financial Analysts Mistake Stocks of Good Companies for Good Stocks? Evidence from Taiwan Stock MarketI-Ju ChenIt has been shown that the individual or institutional investors rely on the information provided by the financial analysts. A good stock recommended by financial experts is expected to make profit to the investors. However, due to the cognitive biases, the financial analysts or investors are probably confused in the firm characteristics between the good stocks and the stocks of … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 6,805 accessesView PDFCite