  Aiming at evaluating the lifetime of the neutron, we introduce a novel
statistical method to analyse the updated compilation of precise measurements
including the 2022 dataset of Particle Data Group (PDG). Based on the
minimization for the information loss principle, unlike the median statistics
method, we apply the most frequent value (MFV) procedure to estimate the
neutron lifetime, irrespective of the Gaussian or non-Gaussian distributions.
Providing a more robust way, the calculated result of the MFV is
$\tau_n=881.16^{+2.25}_{-2.35}$ s with statistical bootstrap errors, while the
result of median statistics is $\tau_n=881.5^{+5.5}_{-3}$ s according to the
binomial distribution. Using the different central estimates, we also construct
the error distributions of neutron lifetime measurements and find the
non-Gaussianity, which is still meaningful.
