Principles And Procedures Of Statistics
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Principles and Procedures of Statistics
Author: Robert George Douglas Steel
language: en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date: 1997
This textbook provides a thorough treatment of major statistical methods and techniques for both staticticians and non-statisticians requiring a foundation in applied statistics. There is an emphasis throughout on inference from data, the principle of fitting models by least squares, and careful interpretation of results. The authors employ SAS to produce PC-based statistical graphics and perform some analyses where appropriate. This edition includes updated real-world data sets.
Statistical Confidentiality
Author: George T. Duncan
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-03-22
Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, “Just give me the data; I’m only going to do good things with it.” Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.
Principles and Procedures of Statistics
Author: Robert George Douglas Steel
language: en
Publisher: McGraw-Hill Companies
Release Date: 1960
Statistics defined. Some history of statistics. Statistics and the scientific method. studying statistic; Probability. Sampling from a normal distribution. Comparisons involving two sample means. Principles of experimental design. Analysis of variance I: the one-way classification. Analysis of variance II: multiway classifications. Linear regression. Linear correlation. Analysis of variance III: Factorial experiments. Analysis of variance IV: split-plot designs and analysis. Analysis of variance V: unequal subsclass numbers. Multiple and partial regression and correlation. Analysis of covariance. Nonlinear regression. Some uses of chi-square. Enumeration data I: one-way classifications. Enumeration data II: contingency tables. Some discrete distributions. Nonparametric statistics. Sampling finite populations.