Postcard: Chase Studio Advertisement

This black and white photographic postcard features an image in the top left corner of the card. Eggs are on hay with baby heads collaged on the open end of the eggs. Above the eggs states Easter Greetings from the Chase Studio . Written text fills the rest of the card and handwriting is on the back of the card.https://scholars.fhsu.edu/tj_postcards/1987/thumbnail.jp

A study of summer forgetting of fourth grade pupils in arithmetic

Thesis (Ed.M.)--Boston University, 1949. This item was digitized by the Internet Archive

Book Review Geostatistical Analysis of Compositional Data

Compositional data are represented as vector variables with individual vector components ranging between zero and a positive maximum value representing a constant sum constraint, usually unity (or 100 percent). The earth sciences are flooded with spatial distributions of compositional data, such as concentrations of major ion constituents in natural waters (e.g. mole, mass, or volume fractions), mineral percentages, ore grades, or proportions of mutually exclusive categories (e.g. a water-oil-rock system). While geostatistical techniques have become popular in earth science applications since the 1970s, very little attention has been paid to the unique mathematical properties of geostatistical formulations involving compositional variables. The book 'Geostatistical Analysis of Compositional Data' by Vera Pawlowsky-Glahn and Ricardo Olea (Oxford University Press, 2004), unlike any previous book on geostatistics, directly confronts the mathematical difficulties inherent to applying geostatistics to compositional variables. The book righteously justifies itself with prodigious referencing to previous work addressing nonsensical ranges of estimated values and error, spurious correlation, and singular cross-covariance matrices

La pintura de una pasión

S Batlle, C. (1998). La pintura de una pasión. La madriguera. (5):70-70. http://hdl.handle.net/10251/41640.Importación Masiva7070