Multiple linear regression models for predicting diameter at breast height (DBH) and basal diameter (ED) of trees from stump measurements are presented. These models were developed for the lower temperate broad-leaved forests of Nepal's central middle hills. In addition to general prediction models based on all trees in the sample, specific models for this forest type are presented for small (< 35 cm DBH) and large (greater than or equal to 35 cm DBH) trees, and for two dominant taxa, Schima wallichii and the genus Castanopsis. The models were derived from a total of 1304 diameter observations measured on 163 trees in two forests. Diameters were measured on each tree at eight different stem heights (3.0 to 180.0 cm above the ground level), which included ED and DBH (measured at 30.0 and 130.0 cm above the ground level, respectively). In addition, two general simple linear regression models are presented to predict DBH from ED, and vice versa. Cross-validation results indicate good predictive ability, and reliability and validity of the models. Seventeen commonly occurring tree species and ten families were represented in the sample. These models are recommended for general use in the lower temperate broad-leaved forests of the central Himalayas, particularly in those forests dominated by the Schima-Castanopsis association.