The author applies the generalized Student's ratio to the analysis of the time series, considering an ordered discrete values of a time series as a vector
X'. The fundamental idea is as follows: If any alternative meteorological phenomenon
A (for example, the passage of a depression) does not bring about any significant effect on living bodies, a set of certain measure
B of biological variation (considered as
k-dimensional component vector
X of
X') constitutes a random sample of size
N from the population
B, when
A occurs
N times. He introduces here the generalized variance ratio
H (tensor) by the method of the likelihood ratio and introduces further a new method of rejection of a set of correlated data and a new method of curve fitting, and criticizes R. A. Fisher's formal application of his method of analysis of variance on a time series and W. R. Thompson's method of rejection of a datum.
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