Chapters authored
Variance Balanced Design
In this chapter binary, ternary and n-ary variance balanced design is constructed using balanced incomplete block, resolvable balanced incomplete block, semi regular group divisible, factorial, fractional factorial designs. Constructed variance balanced designs are with v, (v + 1), (v + 2) and (v + r) treatments. Method of construction of variance balanced designs are supported by suitable examples. It is found that all most all variance balanced designs are with high efficiency factors.
Part of the book: Computational Statistics and Applications
Perspective Chapter: Linear Regression and Logistic Regression Models
In this chapter, we have discussed the detailed concept of simple linear regression and logistic regression analysis. Further we have discussed the procedure of computing regression coefficients, standard error, t test, Z test, p value and 95% confidence intervals for simple linear regression and logistic regression analysis. We also explained that for testing the simple linear regression coefficient, we use t test, whereas, for testing the logistic regression coefficient, we use Z test. Several examples on medical data are considered and various related statistics were computed using manually, R studio package, and Jamovi.
Part of the book: Recent Advances in Biostatistics