Letter: To "My Dear Charles" from John Wesley, January 3, 1741

Digitized from a letter in the Drew University Methodist Collection. 1 Item (2 p.); 17 x 20 cm

Missionary heroes : stories of heroism on the mission field / edited by Charles D. Michael.

http://www.archive.org/details/missionaryheroes00unknuoft

Among the Indians of Alaska. By Charles Replogle ...

http://www.archive.org/details/amongindiansofal00repliala

The life of Father de Smet, S.J. (1801-1873) by E. Laveille, S.J., authorized translation by Marian Lindsay, introduction by Charles Coppens ...

http://www.archive.org/details/lifeoffatherdesm00laverich

A brief history of the Bhopal principality in Central India : from the period of its foundation, about one hundred and fifty years ago, to the present time.

http://www.archive.org/details/briefhistoryofth014373mbp

Father Pollock and his brother : mission priests of St. Alban's, Birmingham / with a letter from Charles Gore.

http://anglicanhistory.org/bios/pollock/ View document online

An American missionary : a record of the work of Rev. William H. Judge, S.J. / by Charles J. Judge ; introduction by His Eminence, Cardinal Gibbons.

http://www.archive.org/details/anamericanmissio00judguoft

The Missionary pioneer, or, A brief memoir of the life, labours, and death of John Stewart, (man of colour) founder, under God of the mission among the Wyandotts at Upper Sandusky, Ohio / Published by Joseph Mitchell.

http://www.archive.org/details/missionarypionee00stewrich

History of Christian missions / by Charles Henry Robinson

http://www.archive.org/details/historyofchristi003076mbp

Modeling Financial Time Series with Artificial Neural Networks

Financial time series convey the decisions and actions of a population of human actors over time. Econometric and regressive models have been developed in the past decades for analyzing these time series. More recently, biologically inspired artificial neural network models have been shown to overcome some of the main challenges of traditional techniques by better exploiting the non-linear, non-stationary, and oscillatory nature of noisy, chaotic human interactions. This review paper explores the options, benefits, and weaknesses of the various forms of artificial neural networks as compared with regression techniques in the field of financial time series analysis.