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Rao C.R., Szekely G. (eds.) Statistics for the 21st century: methodologies for applications of the future

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Rao C.R., Szekely G. (eds.) Statistics for the 21st century: methodologies for applications of the future
New York: Marcel Dekker, 2000. — 483 p.
Assesses the current state of statistical methodology in a wide variety of applications, critically evaluating what has been achieved so far and searching existing statistical methods for insight into the direction of the discipline. DLC: Mathematical statistics.
Alan Agresii
Challenges for Categorical Data Analysis in the Twenty-First Century
C. Jogesh Babu, P. K. Pathak, and C. R. Rao
Consistency and Accuracy of the Sequential Bootstrap
Anil K. Bera
Hypothesis Testing in the 20th Century with a Special Reference to Testing with Misspecificd Models
Carles M. Cuadras and Josep Fortiana
The Importance of Geometry in Multivariate Analysis and Some Applications
Bradley Efron
R. A. Fisher in the 21 st Century
John D. Emerson, Frederick Mosteller, and Cleo Youtz
Students Can Help Improve College Teaching: A Review and an Agenda for the Statistics Profession
Janos Calambos
The Classical Extreme Value Model: Mathematical Results Versus Statistical Inference
Leo A. Goodman
The Analysis of Cross-Classified Data: Notes on a Century of Progress in Contingency Table Analysis, and Some Comments on Its Prehistory and Its Future
Satish Iyengar
Diffusion Models for Neural Activity
Lucien Le Cam
Estimation with Quadratic Loss
C. S. Maddala
Econometrics in the 21st Century
V. Mandrekar
On Stability of a Large (Ecological) System
G. P. Patit, C. D. Johnson, W. L Myers, and C. Taillie
Multi-scale Statistical Approach to Critical-area Analysis and Modelling of Watersheds and Landscapes
C. R. Rao
R. A. Fisher: The Founder of Modern Statistics
N. Reid and D. A. S. Fraser
Higher Order Asymptotics: Costs and Benefits
D. A. Sprott and V. T. Farewell
The Analysis of Subject Specific Agreement
J. N. Shvasiava
Some Important Classes of Problems in Statistical Experimental Design, Multivariate Analysis, and Sampling Theory
G. J. Szekely
Pre-Limit and Post-Limit Theorems for Statistics
Helge Toutenburg, Andreas Fieger, and Christian Neumann
Regression Modeling with Fixed Effects Missing Values and Related Problems
Grace L. Yang
Some Recent Developments in Nonparametric Inference for Right Censored and Randomly Truncated Data
Juan Zhang, Shyamal D. Peddada, and Alan D. Rogol
Estimation of Parameters in Nonlinear Regression Models
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