• فهرست مقالات sinusoidal functions

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        1 - An Application of Discounted Residual Income for Capital Assets Pricing by Method Curve Fitting with Sinusoidal Functions
        G. Talebnia M. Ebrahimi A. Darvishi
        The basic model for valuation of firm is the Dividend Discount Model (DDM). When investors buy stocks, theyexpect to receive two types of cash flow: dividend in the period during which the stock is owned, and theexpected sales price at the end of the period. In the extr چکیده کامل
        The basic model for valuation of firm is the Dividend Discount Model (DDM). When investors buy stocks, theyexpect to receive two types of cash flow: dividend in the period during which the stock is owned, and theexpected sales price at the end of the period. In the extreme example, the investor keeps the stock until thecompany is liquidated; in such a case, the liquidating dividend becomes the sales price. The residual incomevaluation model is an alternative model to the divided discounted model or valuation based on multiples indetermining a value of a company. It decomposes the company value of a company into two imaginative parts:(1) the real assets of the company. It is assumed that these assets are leased to the company at a certain rate ofreturn. (2) The present value of the future “Residual Incomes”. Residual income refers to the income part whichis achieved above the expected return on the real assets (the previously mentioned first part). Thus we examinedthe effects of Discounted Residual Income (DRI) on stock price of companies listed in Tehran Security Exchange(TSE) by method curve fitting with sinusoidal functions. Our sample includes 1920 firm- year of companieslisted in TSE during the period 2005-2010.The results show that there is a significant relationship betweendiscounted residual income and firm’s value. Also the result shows that if we use method curve fitting withsinusoidal functions for fitting model, we can regress the best model and the explanatory power of model willincrease. پرونده مقاله
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        2 - Application of Sinusoidal Equations to Partitioning Crude Protein and Metabolizable Energy Intake between Maintenance and Growth in Parent Stock of Broiler Chickens
        ح. درمانی کوهی اس. لوپز آ. شعبان‌پور آ. محیط س. فلاحی جی. فرانس
        Most models developed for poultry are linear to the point where genetic potential is reached. Models reliant on the premise that growth rate determines requirements based on some fixed rate of nutrient utilization do not adequately represent the biological phenomena inv چکیده کامل
        Most models developed for poultry are linear to the point where genetic potential is reached. Models reliant on the premise that growth rate determines requirements based on some fixed rate of nutrient utilization do not adequately represent the biological phenomena involved. Therefore, a dichotomy between the accepted theories of nutrient utilization in animals and the assumptions of mathematical models to predict and analyze those requirements is evident. Since, responses of animals to dietary energy, protein and amino acids are curvilinear phenomena, they should be evaluated as such to estimate optimum economic levels, rather than as biological maxima. The objective of this study was to apply two sinusoidal functions exhibiting curvilinear behaviour to estimate metabolizable energy (ME) and crude protein (CP) requirements for maintenance and growth in parent stock of boiler chickens. The functions were fitted by non-linear regression to estimate the parameters, from which other biological indicators were calculated. The results of fitting the functions to data sets and their statistical performance and the biological interpretability of the parameter estimates showed the models’ capability in describing the relationship between body weight (BW) gain and ME (or CP) intake in parent stock of broiler chickens. The estimated maintenance requirements and the determined values of ME and CP requirements for BW gain were consistent with values reported previously by other researchers. پرونده مقاله