what is the mean by input output model?
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Introduction\nInput-output analysis is an analytical tool to analyze inter-industry relations in an economy. These relations depict how the output of one industry goes to another industry where it serves as an input, and thereby makes one industry dependent on another both as customer of output and as supplier of inputs. An input-output model is a specific formulation of input-output analysis.\n\nWassily Leontief (1906-1999) is credited with the development of this analysis. Francois Quesnay was a precursor of a cruder version called Tableu economique. Leontief won a Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel for his development of these types of model for the national level.\n\nThe analytical apparatus is strictly empiricist and does not allow ideology-driven false hypotheses to be smuggled in disguise to bias the analysis. For this reason, Leontief seems to have been just about the only economist who was equally honored by communist and capitalist economists.\n\nUsefulness\nAn input-output model is widely used in economic forecasting to predict flows between sectors. They are also used in local urban economics.\n\nIrving Hock at the Chicago Area Transportation Study did detailed forecasting by industry sectors using input-output techniques. At the time, Hock’s work was quite an undertaking, the only other work that has been done at the urban level was for Stockholm and it was not widely known. Input-output was one of the few techniques developed at the CATS not adopted in later studies. Later studies used economic base analysis techniques.\n\nInput-output Analysis Versus Consistency Analysis\nDespite the clear ability of the input-output model to depict and analyze the dependence of one industry or sector on another, Leontief and others never managed to introduce the full spectrum of dependency relations in a market economy. In 2003, Mohammad Gani, a pupil of Leontief, introduced Consistency Analysis in his book 'Foundations of Economic Science', which formally looks exactly like the input-output table, but explores the dependency relations in terms of payments and intermediation relations. Consistency analysis explores the consistency of plans of buyers and sellers by decomposing the input-output table into four separate matrices, each for a different kind of means of payment. It integrates micro and macroeconomics in one model and deals with money in a fully ideology-free manner. It deals with the circualtion of money vis-a-vis the movement of goods.\n\nIn a technical sense, input-output analysis can be seen as a special case of consistency analysis without money and without entrepreneurship and transaction cost.
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Generally I/O stands for Input/Output which is what the hardware does as you perform tasks with software. The software asks the hardware for resources or input/output requests.
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The rule is:\n\noutput = input - 3
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hi\np=(qm)/n\ny=x+(b/m) or x+(bq/np)
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greater input for lesser ouput?\nmechanical advantage?\n\nyou would rather have a small input to produce a much greater output...\nthat's advantage...
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An Input device is anything that sends data to the computer, I suppose...\n\nSo for example, Keyboard, Mouse, Joystick, Microphone, Scanner, Graphics tablet and digital camera. Just to name a few\n\nOutput devices are the opposite they get data out, eg monitor, speaker and a printer are some good examples
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Efficiency=Poutput/Psupplied\nEfficiency=3760/4000=0.94\nEfficiency(%)=94%\nThe answer is B
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Formula is: b=(X'X)^(-1)X'y\n\nIt estimates coefficient vector b in equation y=Xb+e from observed y and X. e is the error term.\n\nThe formula is in matrix notation.\nIf you have N observations and K variables, \nIn above formula, y is N*1 column vector\nX is N*K matrix, b is K*1 column vector\nX' means transposed matrix (K*N)\n^(-1) means matrix inversion\n\nAn example would be deamdn estimation\ny=quantity sold\nX includes price, average income and average quality of good.\n\ntype regression into wikipedia.org for more
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http://en.wikipedia.org/wiki/Data_model
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Yes, you need to convert relative standard derivation to standard derivation first. Use relative standard derivation times the mean.\n\nIn the question, I didnt see anything about number of measurements, so there's no way we can tell n. Since we dont know the number of measurements, we cant tell which distribution, Students' T  or normal distribution, we should use. Look into the questions again, with this much info, we cant do nothing here.
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http://en.wikipedia.org/wiki/Mean_%28statistics%29\n\nThis is a link from Wikipedia. It shows lots of examples along with explanations.
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The mean is simply the average of the data.  Add them all up and divide by 15.\n\n69.54
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You are correct. The definition of mean is the sum of the data divided by the sample size. It is a mathematical average of a set of numbers or measurements. To find a mean you first add up all the numbers that you have. Then you divide that figure by how many numbers you have. Keep up the good work.\nEx. 234+410+355+288=1,287\n      1,287/4=321.75 or 322
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Mathematical model are widely used in agriculture in or der to determine variation of populations of plants or animals.\n\nYou have a link  in source
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This *is* the way to write it so that x is the input and w is the output. If you want to solve for x in terms of w (i.e. have w the input and x the output), you are better off doing numerical approximations than using the cubic formula (it is really, really nasty).
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Using a hybrid model or a simplified model of a transistor allows one to easily analyze circuits containing transistors.\n\nThe hybrid model (using h-parameters) is a very good example of this. The transistor's base-emitter and collector-emitter junctions are replaced by equivalent circuits which actually display the transistor's behavior.\n\nThese models are usually based upon two-port networks. Each port (input port and output port) has well defined set of parameters such as input impedance, and input current etc. The output port has parameters like output resistance/impedance, output voltage (open circuit) etc.\n\nA lot of times a simplified model is used instead of a full hybrid model because certain parameters can be ignored for practical purposes. For example the transistor's output admittance is extremely large and for all practical purposes can be assumed to be an open circuit and neglected. After all these removals a hybrid model becomes a much simpler model which can be easily analyzed using common circuit laws such as ohm's law, kirchoff's current and voltage laws, Thevenin's laws etc.
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See p. 541 of Econometric Foundations by Mittelhammer, Judge and Miller.  Will be a bit tough to explain on Yahoo.  Actually, I don't like this book, but none of my other ones have this.