Get Statistics for Bioengineering Sciences: With MATLAB and PDF

By Brani Vidakovic

ISBN-10: 1461403944

ISBN-13: 9781461403944

Through its scope and intensity of insurance, this ebook addresses the wishes of the colourful and swiftly transforming into engineering fields, bioengineering and biomedical engineering, whereas enforcing software program that engineers are favourite with.

The writer integrates introductory data for engineers and introductory biostatistics as a unmarried textbook seriously orientated to computation and arms on methods. for instance, themes starting from the facets of ailment and gadget trying out, Sensitivity, Specificity and ROC curves, Epidemiological probability concept, Survival research, or Logistic and Poisson Regressions are covered.

In addition to the synergy of engineering and biostatistical methods, the newness of this booklet is within the monstrous assurance of Bayesian methods to statistical inference. Many examples during this textual content are solved utilizing either the normal and Bayesian equipment, and the implications are in comparison and commented.

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Extra resources for Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support

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Xn j ) is an n-vector denoting values of the jth variable/component. 34 2 The Sample and Its Properties Fig. 12 Data matrix X . In the multivariate sample the rows are observations and the columns are variables. The mean of data matrix X is a vector x, which is a p-vector of column means    1 n x1 n i =1 x i1  1 n x  x   n i=1 i2   2   =  . . x= ..   .     . 1 n x x p n i =1 i p By denoting a vector of ones of size n × 1 as 1, the mean can be written as 1 n X · 1, where X is the transpose of X .

A more precise assessment of the periodicity and related inference can be done in the frequency domain of a time series, but this theory is beyond the scope of this course. Good follow-up references are Brillinger (2001), Brockwell and Davis (2009), and Shumway and Stoffer (2005). 12. 10 About Data Types The cell data elaborated in this chapter are numerical. When measurements are involved, the observations are typically numerical. Other types of data encountered in statistical analysis are categorical.

In this exercise, we compare several sample averages. A small company reports the following salaries: 4 employees at 20K, 3 employees at 30K, the vice-president at 200K, and the president at 400K. Calculate the arithmetic mean, geometric mean, median, harmonic mean, and mode. If the company is now hiring, would an advertising strategy in which the mean salary is quoted be fair? If not, suggest an alternative. 3. Contraharmonic Mean and f -Mean. X 1 , X 2 , . . 11 Exercises 47 C(X 1 , . . , X n ) = n 2 i =1 X i .

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Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support by Brani Vidakovic


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