Test Statistics

The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop­ ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process.

Learn fundamentals of statistics and biostatistics from very basic to upward with R-Programming (Coding Exercise)

Apply Statistics in Real World Business Problems Using Python. Build a Career in Data Science and Business Analytics.

Data Science Statistics : Data Science from Scratch for Beginners : Data Analysis Techniques, Method Course : Analytics.

Learn fundamentals of statistics and biostatistics from very basic to upward with R-Programming (Coding Exercise)

Increase Your Data Analytic Skills – Highly Valued And Sought After By Employers

Critically Analyze Research and Results Using R. Learn to recognize sloppy science, perform solid research and do appropriate data analysis.

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions