This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance.
Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests.
In: International Encyclopedia of Statistical Science, Volumes I, II, III (ed. M. Lovric), 1361–1363. Berlin: Springer. Diggle, P. and Ribeiro, P. (2007). Model-Based Geostatistics. New York: Springer. Gaetan, C. and Guyon, H. (2010).
It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using ...
z(0.5) z(1–α) β α –2.5 –2 –1.5 –1 –0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 μ0=0 μ1 =2 Figure 3.1 Density functions of the ... In this case usually the test statistic z= y−μσ0n is applied where y is the mean taken from the random sample Y of size ...
It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using ...
This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance.
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data.