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作者：WALD, A
摘要：The sequential plan provides a rule for continuing to accumulate cases until the total evidence is strong enough to decide between 2 possible courses of action. Since a decision is made on the basis of a sample, rather than the whole population, there will be some chance that a wrong choice will be made. The investigator is at liberty to decide what risks of wrong decisions he can afford. These 2 risks correspond to 2 chosen values of a parameter, such as an average value or the % of cases hav...
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作者：BATEN, WD
摘要：The discriminant function simply takes a linear combination of estimates on such characteristics as color, mealiness, texture and flavor. Each estimate is the average of several judges'' scores, while the corresponding coeffs. are detd. by the discriminative value of the characteristics. An analysis of variance can be used to determine whether the average combination for one condition is significantly better than that for the other. The method also ranks the characteristics in order of importa...
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作者：DWYER, PS
摘要：The square root method accomplishes the same end results for multiple correlation as does the Doolittle method. It makes full use of the modern calculating machine, so that a minimum of numbers must be written down. The typical operation is a sum or difference of products, followed by a square root or a division. The method is readily learned, is compact and reduces the chance for errors. The non-mathematical reader will not have much difficulty with the notations if he will let the subscripts...
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作者：CROW, JF
摘要：A convenient chart on these distributions using a normal curve scale is described and shown. It is obtainable free from the author.
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作者：BAKER, GA
摘要：In comparing differences in % of emergence of seedlings under 2 different treatments at widely separated stations a common difficulty is that the variability differs according to whether there is little or much infective agent present. A method of circumventing this difficulty is presented whereby appropriate wts. are obtained so that standard significance tests may be used.
