STAT 512 – Graduate Project Papers
Chapter 6-related material
Gleser, Leon Jay (1989)
The gamma distribution as a mixture of exponential distributions (C/R: 90V44 p184-185)
The American Statistician, 43, 115-117
Leemis, Lawrence M. (1986)
Relationships among common univariate distributions (C/R: 87V41 p88)
The American Statistician, 40, 143-146
McCullagh, Peter (1994)
Does the moment-generating function characterize a distribution?
The American Statistician, 48, 208-208
Piegorsch, Walter W. and Casella, George (1985)
The existence of the first negative moment (C/R: 85V39 p240)
The American Statistician, 39, 60-62
Chapter 7-related material
Stigler, Stephen M. (1984)
Kruskal's proof of the joint distribution of \bar X and s^2
The American Statistician, 38, 134-135
Chapter 8-related material
Agresti, Alan and Caffo, Brian (2000)
Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures
The American Statistician, 54, 280-288
Agresti, Alan and Coull, Brent A. (1998)
Approximate is better than ``exact'' for interval estimation of binomial proportions
The American Statistician, 52, 119-126
Casella, George (1986)
Refining binomial confidence intervals
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 14, 113-129
David, H. A. (1985)
Bias of S^2 under dependence
The American Statistician, 39, 201-201
Ghosh, Malay and Meeden, Glen (1977)
On the non-attainability of Chebyshev bounds (Corr: 79V33 p37)
The American Statistician, 31, 35-36
Joshi, Suneeta M. and Nabar, Smita P. (1989)
Linear estimators for the parameter in the problem of the Nile (Corr: 89V43 p292)
The American Statistician, 43, 40-41
Juola, R. C. (1993)
More on shortest confidence intervals (Ack: 94V48 p176-177)
The American Statistician, 47, 117-119
Leemis, Lawrence M. and Trivedi, Kishor S. (1996)
A comparison of approximate interval estimators for the Bernoulli parameter
The American Statistician, 50, 63-68
Samuels, Myra L. and Lu, Tai-Fang C. (1992)
Sample size requirements for the back-of-the-envelope binomial confidence interval
The American Statistician, 46, 228-231
Searls, Donald T. and Intarapanich, Pichai (1990)
A note on an estimator for the variance that utilizes the kurtosis (C/R: 91V45 p259)
The American Statistician, 44, 295-296
Vardeman, Stephen B. (1992)
What about the other intervals? (Corr: 93V47 p238)
The American Statistician, 46, 193-197
Chapter 9-related material
Guenther, William C. (1978)
Some easily found minimum variance unbiased estimators
The American Statistician, 32, 29-34
Koopmans, Lambert H. (1993)
A note on using the moment generating function to teach the laws of large numbers
The American Statistician, 47, 199-202
Norton, Robert M. (1984)
The double exponential distribution: Using calculus to find a maximum likelihood estimator
The American Statistician, 38, 135-136
Pal, Nabendu and Berry, J. Calvin (1992)
On invariance and maximum likelihood estimation
The American Statistician, 46, 209-212
Pena, Edsel A. and Rohatgi, Vijay (1994)
Some comments about sufficiency and unbiased estimation
The American Statistician, 48, 242-243