Andrew Hines

Sat, 22 Nov 2008 22:41:17 GMT

Hey andrew, I hope to see u next yr. and I think you should cum to phx when nhra cums in Jan for trail runs and get practice on thoses lights or let me go down with u and show u how i do it on my 883l . Thx for the pixs and autographs it was nice meeting and watching you and Eddie through the yr, congrats to eddie,

From Darlene in Chandler, AZ

Andrew Hines

Fri, 21 Nov 2008 21:12:46 GMT

Once-Beaten Ellsworth Fourth in Class B Ranks - Ellsworth American

Ellsworth American

Once-Beaten Ellsworth Fourth in Class B Ranks
Ellsworth American, ME - 8 hours ago
In goal, Iz Ward and Jack Minctons combined for two saves on four shots for MDI, and Josh Gale and Nate Hines combined for eight saves on 16 shots for the ...

Andrew Hines

Fri, 21 Nov 2008 21:07:14 GMT

Stingy goalkeeper lifts Central to regional - Evansville Courier & Press

Stingy goalkeeper lifts Central to regional
Evansville Courier & Press, IN - Oct 12, 2008
"Kyle has been big for us all year, but he came up huge tonight," said Central coach Andrew Hines. "You win in PKs when one of the best goalkeepers in the ...

Andrew Hines

Fri, 21 Nov 2008 21:07:08 GMT

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.

* Provides authoritative insights into the latest in estimation modeling
* Discusses multiple models which lay the groundwork for future study designs
* Addresses critical issues of imperfect detectibility and its effects on estimation
* Explores the role of probability in estimating in detail