Reprint of the original, first published in 1874.

Reprint of the original, first published in 1875.

The first edition of this book covered the 1988 version of the Korn shell. Shortly after it was published, David Korn released the 1993 version, which included compatibility with the POSIX 1003.2 shell standard, as well as many new features. Although ksh93 has been slow to spread to the commercial Unix world, source code is now available, so anyone who wants a copy of the latest and greatest version of ksh93 has but to download the source and compile it. With this in mind, we have made ksh93 the focus of the second edition, with a summary of the differences available in an appendix. This edition covers the most recent ksh93 release available at the time of writing, which includes some significant features not found in earlier versions. The basic structure and flow of the book remains the same, and we have updated kshdb, the Korn Shell Debugger, to work with ksh93. Also included with this edition is a reference card that covers many of the features of ksh93 described in this book.

How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present: * The sampling background necessary to understand health surveys. * The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data. * The use of sample weights in survey data analysis. * Dealing with complications in variance estimation in large healthsurveys. * Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses. * Guidance on the correct use of statistical methods found insoftware packages. * Extensive bibliography.