Xem 1-20 trên 49 kết quả Flow variables
  • Chapter 6 - Variable costing and segment reporting: tools for management. After studying chapter 6, you should be able to: Explain how variable costing differs from absorption costing and compute unit product costs under each method, prepare income statements using both variable and absorption costing, reconcile variable costing and absorption costing net operating incomes and explain why the two amounts differ, prepare a segmented income statement that differentiates traceable fixed costs from common fixed costs and use it to make decisions.

    ppt19p tangtuy10 04-05-2016 4 2   Download

  • Tham khảo sách 'numerical methods for nonlinear variable problems', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • This chapter presents the following content: The state variables of a dynamic system, the state differential equation, signal – flow graph & block diagram models, alternative signal – flow graph & block diagram models, the transfer function from the state equation,...

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  • Average depth model has a variety of applications in hydraulic engineering, especially in applications that flow depth is much smaller than the width of the flow. In this method the vertical variation is negligible and the hydraulic variables average integrated from channel bed to the surface free for the vertical axis. in equations arising management, pure hydrostatic pressure is assumed that not really valid in the case of flow in the bed is curved and can not be described curvature effects of the bed.

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  • Climate dynamicists generally characterize the Hadley circulation in terms of some derived meteorological parameters, such as the mass stream function (the nondivergent part of the flow) or the velocity potential (the divergent circulation), both of which are based on measurements of the three-dimensional wind field. Yet, we know very little about how such indices have varied in the past—beyond the most recent decades.

    pdf512p aries23 29-09-2012 30 9   Download

  • This title presents the general principles of instrumentation processes. It explains the theoretical analysis of physical phenomena used by standard sensors and transducers to transform a physical value into an electrical signal. The pre-processing of these signals through electronic circuits – amplification, signal filtering and analog-to-digital conversion – is then detailed, in order to provide useful basic information. Attention is then given to general complex systems.

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  • Results obtained from fixed effect and ordinary least squares are indifferent. However, results based on fixed effect model yield more insightful interpretation. The outcomes from fixed effect model help indicating that three determinants affecting mutual fund growth are types of AMCs, Administrative expense ratio, and size of AMCs. Types of AMCs or dummy variables are used to represent distribution channel and parent reputation.

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  • Instruments used to predict future mutual fund returns include the aggregate dividend yield, the default spread, the term spread, and the yield on the three-month T-bill, variables identified by Keim and Stambaugh (1986) and Fama and French (1989) as important in predicting U.S. equity returns. The dividend yield is the total cash dividends on the value- weighted CRSP index over the previous 12 months divided by the current level of the index. The default spread is the yield differential between Moodys BAA-rated and AAA- rated bonds.

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  • The goal of this book is to expose the reader to modern computational tools for solving differential equation models that arise in chemical engineering, e.g., diffusion-reaction, mass-heat transfer, and fluid flow. The emphasis is placed on the understanding and proper use of software packages. In each chapter we outline numerical techniques that either illustrate a computational property of interest or are the underlying methods of a computer package. At the close of each chapter a survey of computer packages is accompanied by examples of their use....

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  • A simple model of earnings, cash flows and accruals is developed by assuming a random walk sales process, variable and fixed costs, accounts receivable and payable, and inventory and applying the accounting process. The model implies earnings better predicts future operating cash flows than does current operating cash flows and the difference varies with the operating cash cycle. Also, the model is used to predict serial and crosscorrelations of each firm's series. The implications and predictions are tested on a 1337 firm sample over 1963-1992.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Variable Viscosity on Magnetohydrodynamic Fluid Flow and Heat Transfer over an Unsteady Stretching Surface with Hall Effect

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  • There have been some attempts to explain theoretically the behavior of the stock return volatility. Veronesi (1999) constructs a model with regime shifts in the endowments in which investors will- ingness to hedge against their own uncertainty on the true regime generates overreaction to good news in bad times and volatility clustering. In contrast to that paper, I assume that the exogenous state variables are not subject to regimes, neither do they exhibit mean-reversion.

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  • A higher-risk CMO tranche could, for example, have an average life that changes from 2 years to 20 years with even a modest increase in interest rates. Higher risk refers here to the cash flow variability of the tranche, not its credit quality, although underwriters can create structured securities that combine higher average life sensitivity with lower credit quality. The highest yields go to those tranches that, by design, exhibit the most volatile average lives. Such tranches receive excess principal cash when prepayments rise, and pay off early.

    pdf45p bocapchetnguoi 05-12-2012 16 2   Download

  • Chapter 6 - Variable interest entities, intra-entity debt, consolidated cash flows, and other issues. After studying this chapter, you should be able to: Describe a variable interest entity, a primary beneficiary, and the factors used to decide when a variable interest entity is subject to consolidation; understand the consolidation procedures to eliminate all intra-entity debt accounts and recognize any associated gain or loss created whenever one company acquires an affiliate’s debt instrument from an outside party;...

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  • In addition to emphasizing long-horizon expected returns, the approach taken here differs from previous treatments in that it uses ex ante estimates of expected returns, rather than ex post actual returns. Expected returns are estimated by incorporating corporate cash flow projections into an expanded version of the Campbell and Shiller (1988, 1989) dividend-price ratio model, in which the log of the price-earnings ratio is a linear function of required future returns, expected earnings growth rates, and expected dividend payout rates.

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  • Chapter 2 introduction to the variables - constants – expressions - flow control - methods. In this chapter you will learn: Basic C# syntax variables, constants, expressions; how to branch code, loop code; how to write and call method; how to catch an exception.

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  • Chapter 4 – Probability concepts. This chapter define a random variable, an outcome, an event, mutually exclusive events, and exhaustive events; explain the two defining properties of probability; distinguish among empirical, subjective, and a priori probabilities; state the probability of an event in terms of odds for or against the event;...

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  • Chapter 5 – Common probability distributions. This chapter define and explain a probability distribution; distinguish between and give examples of discrete and continuous random variables; define a probability function, state its two key properties, and determine whether a given function satisfies those properties;...

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  • Chapter 9 presents multiple regression and issues in regression analysis. This chapter includes contents: Multiple regression, multiple regression assumptions, multiple regression predicted values, multiple regression: anova, indicator variables,... Inviting you refer.

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  • Chapter 7 (part 1) - Entropy: A measure of disorder. In this chapter, the learning objectives are: Examine a special class of idealized processes, called isentropic processes, and develop the property relations for these processes; derive the reversible steady-flow work relations; develop the isentropic efficiencies for various steady-flow devices; introduce and apply the entropy balance to various systems.

    ppt53p whocarea 05-09-2016 0 0   Download

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