By Lisa Gardner

#1 New York Times bestselling writer Lisa Gardner thrills readers along with her novels of suspense that includes Boston murder detective D. D. Warren. Hostage standoffs, copycat killers, lacking better halves, brutal crimes, haunted survivors—Gardner weaves some of these components into compelling fiction. Now the 1st 5 books in her acclaimed D. D. Warren sequence are jointly in a single handy publication package, including:

ALONE
HIDE
THE NEIGHBOR
LIVE TO TELL
LOVE YOU MORE

“Lisa Gardner regularly can provide heart-stopping suspense.”—Harlan Coben

“One of the easiest mystery writers within the business.”—Associated Press

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Read Online or Download The Detective D. D. Warren Series 5-Book Bundle: Alone, Hide, The Neighbor, Live to Tell, Love You More (Detective D.D. Warren, Books 1-5) PDF

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Additional resources for The Detective D. D. Warren Series 5-Book Bundle: Alone, Hide, The Neighbor, Live to Tell, Love You More (Detective D.D. Warren, Books 1-5)

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40 L. H. Ratcliffe Fig. 2 Statistical Significance The second consideration with the Nnh analysis concerns how to determine statistical significance of the clusters. The test to determine whether two points are clustered by chance is traditionally the confidence interval around the random nearest neighbor distance. 05 then one could expect that 5% of all point pairs are grouped by chance. However, Nnh groups more than just two points within a cluster, depending on the minimum number of points set by the user.

This suggests that clusters revealed by setting the minimum number of points to ten are robust clusters of drug sales activity. Therefore, the appropriate minimum number of points (for the Philadelphia data at least) is any option of at least ten points, noting that there is an inverse relationship between the minimum number of points and the number of first-order clusters that will be identified. Returning to the issue of validity, we investigated whether census features or clusters from the Nnh analysis produce a more valid measure of drug markets.

This is demonstrated in part (c) of Fig. 3. One issue to consider at this stage is shown by the arrow in Fig. 3c. The arrow indicates a crime event that is very close to the drug market area but which is just outside the formal spatial polygon. Therefore for both purposes of visual clarity, and to avoid any potential ambiguities, the final combined first- and second-order polygon areas have had a small buffer applied. This process allows the drug market area to retain all of the original first-order events that clustered to create the crime hotspot area in the first place, as well as any points right on the edge of the drug market area.

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