This book should be of interest to senior undergraduate and postgraduate students of applied statistics.

Cox, D.R.

Preface
Part 1 Principles
1. Nature and objectives of statistical analysis
1.1 Introduction
1.2 Data Quality
1.3 data structure and quantity
1.4 Phases of analysis
1.5 Styles of analysis
1.6 Computational and numerical analytical aspects
1.7 Response and explanatory variables
1.8 Types of investigation
1.9 Purposes of investigation
2. Some general concepts
2.1 Types of observation
2.2 Descriptive and probabilistic methods
2.3 Some aspects of probability models
3. Some strategically aspects
3.1 Introduction
3.2 Incorporation of related data and external information
3.3 Role of special stochastic models
3.4 Achievement of economical and consistent description
3.5 Attitudes to assumptions
3.6 Depth and complexity of analysis appropriate
3.7 Analysis in the light of the data
4. Some types of statistical procedure
4.1 Introduction
4.2 Formulation of models: generalities
4.3 Formulation of models: systematic component
4.4 Formulation of models: random component
4.5 Calculation of summarizing quantities
4.6 Graphical analysis
4.7 significance tests
4.8 Interval estimation
4.9 Decision procedures
4.10 Examination of the adequacy of models
4.11 Parameters and parameterization
4.12 Transformations
4.13 Interaction
Part II Examples
A. Admissions to intensive care unit
B. Intervals between adjacent births
C. Statistical aspects of literary style
D. Temperature distribution in a chemical ractor
E. A 'before and after' study of blood pressure
F. Comparison of industrial processes in the presence of trend
G. Cost of construction of nuclear power plants
H. Effect of process and purity index on fault occurrence
I. Growth of bones from chick embryos
J. Factorial experiment on cycles to failure of worsted yarn
K. Factorial experiment on diets for chickens
L. Binary preference data for detergent use
M. Fe