Second Lieutenant William B. McCreery, July 21, 1861 (date of battle), On reverse: First Battle of Bull Run on the battlefield, Description: three soldiers under tree with swords drawn

Scene showing a group of men, women, and children. The men appear to be members of the Grand Army of the Republic, possibly the Gov. Crapo Post #145

The History of the battle of Agincourt, and of the expedition of Henry the Fifth into France; to which is added, The roll of the men at arms, in the English army.

Mode of access: Internet.

The battle of Dorking : reminiscences of a volunteer ...

First published in Blackwood's magazine, May 1871.

The island worlds of the Pacific ocean.

Mode of access: Internet.

Barrier Island ecology of Cape Lookout National Seashore and vicinity, North Carolina /

Includes index.

The ancient history of the near East, from the earliest times to the battle of Salamis.

Mode of access: Internet.

The ancient history of the near East, from the earliest times to the battle of Salamis.

Mode of access: Internet.

Battle of Tehoo[pca].

Relief shown pictorially.

[Comanche pictograph map of the Battle of Sierra Blanca, 1787].

Shows battle between two warring Plains Indian tribes, the Comanche and Apache.

Manual, with rules and orders, for the use of the General Assembly of the state of Rhode Island.

Vols. for 1867/68- include section with special t.p.: Civil government of Rhode Island.

Info-gap theory and robust design of surveillance for invasive species : the case study of Barrow Island

Surveillance for invasive non-indigenous species (NIS) is an integral part of a quarantine system. Estimating the efficiency of a surveillance strategy relies on many uncertain parameters estimated by experts, such as the efficiency of its components in face of the specific NIS, the ability of the NIS to inhabit different environments, and so on. Due to the importance of detecting an invasive NIS within a critical period of time, it is crucial that these uncertainties be accounted for in the design of the surveillance system. We formulate a detection model that takes into account, in addition to structured sampling for incursive NIS, incidental detection by untrained workers. We use info-gap theory for satisficing (not minimizing) the probability of detection, while at the same time maximizing the robustness to uncertainty. We demonstrate the trade-off between robustness to uncertainty, and an increase in the required probability of detection. An empirical example based on the detection of Pheidole megacephala on Barrow Island demonstrates the use of info-gap analysis to select a surveillance strategy.