The most accredited mechanisms of Meniere's disease (MD) and related frequency components reduction of transient evoked otoacoustic emission (TEOAE) are dysfunctions of outer hair cells. The clinical TEOAE parameters lack quantitative physiological information. This study explored the feasibility of sample entropy (SampEn) of TEAOE for quantitative diagnosis of MD based on frequency components reduction. Nineteen normal (38 ears) and 40 (40 ears) unilateral definitive MD participants were recruited. Based on combinations of different data size $N$, template length $m$ and similarity tolerance $r$, TEOAE SampEn were estimated. The results showed that TEOAE SampEn using the parameters of ($N=772,\ m=2,\ r=0.2$) resulted in the maximum area under receiver operating characteristic curve = 0.7982 in diagnosing MD. TEOAE SampEn provides a good diagnostic performance and demonstrates a great potential for understanding physiology of MD.