Forensic Interpretation of Glass Evidence
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advanced glass evidence interpretation
analysis
Bayesian inference
Becke Line
Breaking Window
Category=JKVF1
Classical Significance Tests
clothing
coincidence
Coincidence Probability
Continuous Random Variable
Control Fragments
Control Glass
Density Estimate
DNA Analyst
elemental
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Flat Glass
Flexure Breaks
forensic statistics
fragment
Glass Evidence
Glass Fragment
Glass Samples
Hackle Marks
ICP Technique
laboratory casework methods
match
Match Window
Optimal Bin Width
physical evidence interpretation
probability
Resulting Density Estimate
RI Determination
RI Measurement
Scene Window
scientist
Sigma Rule
Small Sample Size Situation
Suspect's Clothing
suspects
trace evidence analysis
undergraduate forensic science
window
Product details
- ISBN 9780849300691
- Weight: 490g
- Dimensions: 156 x 234mm
- Publication Date: 27 Jun 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Intended for forensic scientists and students of the discipline, Forensic Interpretation of Glass Evidence provides the practicing forensic scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software available for downloading at the author's Web site, scientists can apply their own data and draw conclusions using principles practiced in the text.
This book contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms.
By presenting both the physical and chemical examinations performed on glass along with a recommended interpretation, the author allows readers the luxury of having all reference materials contained within a single book. Useful for case-working forensic scientists, this book is ideal for students of forensic science at both the undergraduate and graduate levels, as well anyone currently working in the field.
James Michael Curran, Tacha Natalie Hicks Champod, John S. Buckleton
