Andere Kunden interessierten sich auch für
![Predictive Analytics Using Statistics and Big Data: Concepts and Modeling]( "Predictive Analytics Using Statistics and Big Data: Concepts and Modeling")
Predictive Analytics Using Statistics and Big Data: Concepts and Modeling49,99 €![Statistical Methods of Analysis]( "Statistical Methods of Analysis")
Statistical Methods of Analysis72,99 €![Solutions Manual to Accompany Modern Regression Methods, 2e]( "Solutions Manual to Accompany Modern Regression Methods, 2e")
Solutions Manual to Accompany Modern Regression Methods, 2e40,99 €![Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists]( "Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists")
Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists40,99 €![Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis]( "Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis")
Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis27,99 €![Mathematics Finely Explained - Statistics]( "Mathematics Finely Explained - Statistics")
Mathematics Finely Explained - Statistics28,99 €![Sample Survey Methods and Theory, Volume 2]( "Sample Survey Methods and Theory, Volume 2")
Sample Survey Methods and Theory, Volume 2208,99 €
Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest to quality engineering professionals include designed experiments, reliability studies, statistical process control, acceptance sampling, process capability analysis, statistical tolerancing, and gage error studies. The book emphasizes approximate methods, but exact methods are presented when the approximate methods fail. Monte Carlo and bootstrap methods are introduced for situations that don't satisfy the assumptions of the analytical methods. Solutions are presented for more than 170 example problems and solutions for selected example problems using PASS, MINITAB, Piface, and R are posted on the Internet.