Titlebook: Statistics for Economics, Business Administration, and the Social Sciences; Erling B. Andersen,Niels-Erik Jensen,Nils Kousgaar Textbook 19

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书目名称Statistics for Economics, Business Administration, and the Social Sciences网络公开度学科排名




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书目名称Statistics for Economics, Business Administration, and the Social Sciences被引频次学科排名




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Confidence Intervals, parameter. This uncertainty can be expressed by means of the distribution of the estimator, but can also be summed up quite simply in terms of an interval around the point estimate that is believed to contain the true parameter value with a certain degree of confidence. Such an interval is called a ..

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Testing Statistical Hypotheses, it completely specifies the distribution of the random variables. A different hypothesis would be that the random variables are normally distributed with mean 0 and unknown variance σ.. Such a hypothesis is said to be ., since a class of distributions is specified.

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Introduction, house depends on such things as the size of the house or the location, the values of these quantities must be measured for a sample of houses. If the problem is to describe the production of electricity at a power plant as a function of the fuel consumption, monthly or weekly joint observations of

缺乏

Descriptive Statistics, 2.1 the differences between the exchange rate for American Dollars (US$) on the first day of each month from January 1983 to December 1984 are shown. The exchange rate is defined as the value in DKK (Danish Kroner) of 100 US$.

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Probability Theory, of which seems to be governed partly by chance. Faced with real data, the analyst needs to be able to differentiate between that which may be caused by an underlying structure and that which may be considered as random variation. Probability theory is the mathematical discipline that connects law a

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Mean Values and Variances,s . i.e. as a weighted sum of the elements of the sample space with the corresponding probabilities as weights. The mean value of X can be interpreted as a long run average of the outcomes of an experiment with sample space S and probability f(x) of the outcome x. This is illustrated in the followin

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