Evaluating system changes under uncontrolled workloads: a case study
IBM Systems Journal
Statistical analysis of non-stationary series of events in a data base system
IBM Journal of Research and Development
Behavior and sensitivity of an optimal tree diameter growth model under data uncertainty
Environmental Modelling & Software
Profile-driven regression for modeling and runtime optimization of mobile networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Attribute-efficient evolvability of linear functions
Proceedings of the 5th conference on Innovations in theoretical computer science
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From the Publisher:Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra.