Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence. This book presents the methodology of statistical DNA forensics with an emphasis on the use of computational techniques to analyze and interpret forensic evidence.Preface.
List of figures.
List of tables.
1. Introduction.
1.1 Statistics, forensic science and the law.
1.2 The use of statistics in forensic DNA.
1.3 Genetic basis of DNA profiling and typing technology.
1.3.1 Genetic basis.
1.3.2 Typing technology.
1.4 About the book.
2. Probability and statistics.
2.1 Probability.
2.2 Dependent events and conditional probability.
2.3 Law of total probability.
2.4 Bayes’ Theorem.
2.5 Binomial probability distribution.
2.6 Multinomial distribution.
2.7 Poisson distribution.
2.8 Normal distribution.
2.9 Likelihood ratio.
2.10 Statistical inference.
2.10.1 Test of hypothesis.
2.10.2 Estimation and testing.
2.11 Problems.
3. Population genetics.
3.1 Hardy-Weinberg equilibrium.
3.2 Test for Hardy-Weinberg equilibrium.
3.2.1 Observed and expected heterozygosities.
3.2.2 Chi-square test.
3.2.3 Fisher’s exact test.