The pmaj statistic of a parking function. This is the parking function analogue of the bounce statistic, see [1, Section 1.3]. The definition given there is equivalent to the following: One again and again scans the parking function from right to left, keeping track of how often one has started over again. At step $i$, one marks the next position whose value is at most $i$ with the number of restarts from the end of the parking function. The pmaj statistic is then the sum of the markings. For example, consider the parking function $[6,2,4,1,4,1,7,3]$. In the first round, we mark positions $6,4,2$ with $0$'s. In the second round, we mark positions $8,5,3,1$ with $1$'s. In the third round, we mark position $7$ with a $2$. In total, we obtain that $$\operatorname{pmaj}([6,2,4,1,4,1,7,3]) = 6.$$ This statistic is equidistributed with the area statistic [[St000188]] and the dinv statistic [[St000136]].