Instance Transfer Learning with Multisource Dynamic TrAdaBoost

Table 1

Hypothesis testing for experimental results.

Hypothesis	𝐻0:𝜇1≥𝜇2𝐻1:𝜇1<𝜇2	𝐻0:𝜇1≥𝜇3𝐻1:𝜇1<𝜇3	𝐻0:𝜇1≥𝜇4𝐻1:𝜇1<𝜇4	𝐻0:𝜇1≥𝜇5𝐻1:𝜇1<𝜇5
Statistics	𝑈1=𝑋1−𝑋2𝜎^21/𝑛1+𝜎^22/𝑛2	𝑈2=𝑋1−𝑋3𝜎^21/𝑛1+𝜎^23/𝑛3	𝑈3=𝑋1−𝑋4𝜎^21/𝑛1+𝜎^24/𝑛4	𝑈4=𝑋1−𝑋5𝜎^21/𝑛1+𝜎^25/𝑛5
Rejection region	𝑈1≤−𝑍𝛼=−2.325	𝑈2≤−𝑍𝛼=−2.325	𝑈3≤−𝑍𝛼=−2.325	𝑈4≤−𝑍𝛼=−2.325
Value of the statistic	𝑈1=−58.67	𝑈2=−114.56	𝑈3=−136.59	𝑈4=−158.23
Conclusion	𝐻1:𝜇1<𝜇2	𝐻1:𝜇1<𝜇3	𝐻1:𝜇1<𝜇4	𝐻1:𝜇1<𝜇5