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Cover Art for Forensic Interpretation of Glass Evidence
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Forensic Interpretation of Glass Evidence


Author(s): Curran; James Michael
ISBN10:  084930069X
ISBN13:  9780849300691
Format:  Hardcover
Pub. Date:  6/27/2000
Publisher(s): CRC

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SummaryTable of Contents
Contains information on glass evidence procedure and analysis before covering topics such as classical approaches to interpreting glass evidence, the application of Bayesian statistics to forensic science, and the presentation of statistical evidence in court. Contains more than 150 illustrations, tables, and equations. DLC: Glass.
Examination of Glass
1(27)
History
1(1)
Flat Glass
2(1)
Float Glass
3(1)
Toughened Glass
3(2)
Laminated Glass
5(1)
Glass Composition
5(1)
Glass Breakage Under Impact
6(4)
Breakage in Flexion
7(1)
Determination of Side of Impact
7(2)
Percussion Cone Breakage
9(1)
Transfer of Glass
10(1)
Physical Examinations
10(1)
Examinations of Large Fragments
10(4)
The Comparison of Thickness
10(1)
The Comparison of Color
11(1)
Matching Edges and Matching Hackle Marks
12(1)
Density Comparisons
12(2)
Examinations Performed on Small and Large Fragments
14(8)
Recovering Glass
14(1)
Examination of Transparent Material to Determine Whether It Is Glass
15(1)
The Examination of Surface Fragments
15(2)
Refractive Index Determinations
17(3)
Dispersion
20(1)
Refractive Index Anomalies
20(1)
The Examination of Tempered (Toughened) Glass by Annealing
21(1)
Elemental Composition
22(4)
X-Ray Methods
23(1)
Classification of Glass Using X-Ray Methods
23(1)
Discrimination of Glass Using X-Ray Methods
24(1)
ICP Techniques
24(1)
Classification of Glass Using ICP Techniques
24(1)
Discrimination of Glass Using ICP Techniques
24(2)
Summary
26(1)
Appendix A---Snell's Law
26(1)
The Conventional Approach to Evidence Interpretation
27(28)
Data Comparison
28(3)
Range Tests and Use of Confidence Intervals
28(1)
Confidence Interval
29(2)
Statistical Tests and Grouping
31(16)
Grouping
31(1)
Agglomerative Methods
31(1)
Divisive Methods
32(2)
Performance
34(1)
Statistical Tests
35(1)
Hypothesis Testing
35(3)
Student's t-Test
38(1)
Welch's Modification to the Student's t-Test
39(4)
How Many Control Fragments?
43(1)
Setting Significance Levels
44(1)
Elemental Composition Measurements---Hotelling's T2
45(1)
The Multiple Comparison Problem
45(1)
Hotelling's T2---A Method for Comparing Two Multivariate Mean Vectors
46(1)
Examples
46(1)
Discussion on the Use of Hotelling's T2
47(1)
Coincidence Probabilities
47(2)
Summary
49(1)
Appendix A
50(2)
Appendix B
52(1)
Appendix C
53(2)
The Bayesian Approach to Evidence Interpretation
55(32)
Probability---Some Definitions
56(2)
The Laws of Probability
58(5)
The First Law of Probability
58(1)
The Second Law of Probability
58(1)
The Third Law of Probability
59(1)
The Law of Total Probability
59(1)
Bayes Theorem
60(1)
The Relationship Between Probability and Odds
60(1)
The Odds Form of Bayes Theorem
61(2)
Bayesian Thinking in Forensic Glass Analysis
63(10)
A Generalized Bayesian Formula
73(1)
Taking Account of Further Analyses
73(1)
Search Strategy
74(2)
Comparison of Measurements: The Continuous Approach
76(8)
A Continuous LR Approach to the Interpretation of Elemental Composition Measurements from Forensic Glass Evidence
81(1)
The Continuous Likelihood Ratio for Elemental Observations
81(3)
Examples
84(1)
Discussion
84(1)
Summary
84(1)
Appendix A
85(2)
Glass Found at Random and Frequency of Glass
87(16)
Relevant Questions
87(1)
Availability
88(1)
Glass Found at Random (Clothing Surveys)
88(5)
Glass Found on the General Population
88(1)
Glass Recovered on Garments
88(2)
Glass Recovered on Shoes
90(1)
Glass Recovered in Hair
91(1)
Glass Recovered on the Suspect Population
91(1)
General Trends
91(1)
Glass Recovered on Shoes
92(1)
Comparison Between Suspect and General Populations: An Example
93(1)
Estimation of the Probability of Finding at Random i Groups of j Fragments
94(2)
Frequency of the Analyzed Characteristics
96(1)
Control Glass Data Collections
97(1)
Clothing Surveys
98(1)
Characteristics of Glass Found on the General Population
98(2)
Glass Recovered on Garments
98(1)
Glass Recovered on Shoes
99(1)
Characteristics of Glass Found on the Suspect Population
100(1)
Comparison Between Suspect and General Populations: An Example
100(1)
Summary
101(2)
Transfer and Persistence Studies
103(30)
Transfer of Glass
103(12)
Transfer of Glass to the Ground
104(1)
Number, Size, and Distribution of the Fragments
104(1)
Influence of the Window Type and Size
105(1)
Presence of an Original Surface
106(1)
Transfer of Glass Broken with a Firearm
107(1)
Transfer of Vehicle Glass
107(1)
Transfer of Glass to Individuals Standing Nearby
107(1)
Transfer of Window Glass to Garments
107(1)
Transfer of Glass with a Pendulum
108(1)
Glass Broken Under Conditions Similar to Casework
108(3)
Transfer of Vehicle Glass and Absence of Glass
111(1)
Transfer of Glass When a Person Enters Through a Window
111(1)
Influence of the Weather on Transfer
111(1)
Transfer of Broken Glass
112(1)
Transfer of Window Glass to Hair
112(1)
Transfer of Window Glass to Footwear
113(1)
Secondary and Tertiary Transfer
113(1)
Transfer: What Do We Know?
114(1)
Persistence of Glass on Garments
115(5)
Early Studies
116(1)
Persistence of Glass on Clothing
116(2)
Persistence of Glass on Shoes
118(2)
Persistence of Glass in Hair
120(1)
Main Results of the Studies
120(2)
Modeling Glass Transfer and Making Estimates
122(6)
Graphical Models
122(1)
A Graphical Model for Assessing Transfer Probabilities
123(1)
Results
124(4)
Conclusions from the Modeling Experiment
128(1)
Appendix A---The Full Graphical Model for Assessing Transfer Probabilities
128(2)
Appendix B---Probabilistic Modeling and Quantitative Assessment
130(3)
Statistical Tools and Software
133(20)
Data Analysis
133(12)
Histograms and Lookup Tables
133(1)
Constructing a Histogram
133(5)
Constructing a Floating Window
138(1)
Estimating Low Frequencies
139(1)
Density Estimates
140(1)
Random Variables and Probability Density Functions
140(4)
Kernel Density Estimators
144(1)
What Is a Good Tuning Parameter for a Kernel Density Estimator?
144(1)
Calculating Densities by Hand
145(3)
Computer Programs
148(2)
The Fragment Data System (FDS)
149(1)
STAG
149(1)
Elementary
149(1)
CAGE
150(1)
Summary
150(1)
Appendix A
151(2)
Reporting Glass Evidence
153(11)
Verbalization of a Likelihood Ratio Answer
159(1)
Sensitivity of the Likelihood Ratio Answer to Some of the Data Estimates
160(1)
The Effect of Search Procedures
161(1)
Fallacy of the Transposed Conditional
162(2)
References 164(9)
Index 173

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