Engineering - Statistical methods.

Probability and statistics for modern engineering / by: (Language materials, printed)

Random data : = analysis and measurement procedures / by: (Language materials, printed)

Engineering applications of correlation and spectral analysis / by: (Language materials, printed)

Miller and Freund's Probability and statistics for engineers / by: (Language materials, printed)

Probability and statistics in engineering and management science / by: (Language materials, printed)

Statistics for engineering and the sciences / by: (Language materials, printed)

Complex stochastic systems and engineering : = based on the proceedings of a Conference on Complex Stochastic Systems and Engineering. Organized by the Institute of Mathematics and its Applications and the Royal Statistical Society and held at the University of Leeds in September 1993 / by: (Language materials, printed)

Random data : = analysis and measurement procedures / by: (Language materials, printed)

Statistical models in engineering / by: (Language materials, printed)

Introductory statistics for engineering experimentation / by: (Language materials, printed)

Introduction to probability and statistics for scientists and engineers / by: (Language materials, printed)

Applied research in uncertainty modeling and analysis / by: (Language materials, printed)

Applied research in uncertainty modeling and analysis by: (Language materials, printed)

Survey sampling and multivariate analysis for social scientists and engineers / by: (Language materials, printed)

Introduction to engineering statistics and lean sigma = statistical quality control and design of experiments and systems / by: (Language materials, printed)

Random data = analysis and measurement procedures / by: (Electronic resources)

Excel 2010 for engineering statistics = a guide to solving practical problems / by: (Electronic resources)

Metaheuristic applications in structures and infrastructures by: (Electronic resources)

Monitoring and control of information-poor systems = an approach based on fuzzy relational models / by: (Electronic resources)

Statistics for engineering and the sciences / by: (Language materials, printed)

Probability and statistics in engineering / by: (Language materials, printed)

Stochastic methods for estimation and problem-solving in engineering by: (Electronic resources)

Statistics for process control engineers = a practical approach / by: (Electronic resources)

Excel 2019 for engineering statistics = a guide to solving practical problems / by: (Electronic resources)

Probability and statistics for engineers and scientists / by: (Language materials, printed)

Excel crash course for engineers by: (Electronic resources)

Uncertainty in engineering = introduction to methods and applications / by: (Electronic resources)

Engineering statistics = an introduction / by: (Electronic resources)

Handbook of probabilistic models by: (Electronic resources)

Springer handbook of engineering statistics by: (Electronic resources)

Statistics and data analysis for engineers and scientists by: (Electronic resources)

Path integrals in stochastic engineering dynamics by: (Electronic resources)

Introduction to engineering statistics and Lean Six Sigma = statistical quality control and design of experiments and systems / by: (Electronic resources)

Uncertainty modeling for engineering applications by: (Electronic resources)

Probability and statistics for engineers and scientists / by: (Language materials, printed)

Probability and random processes / by: (Language materials, printed)

Miller & Freund's Probability and statistics for engineers / by: (Language materials, printed)

Statistics and probability for engineering applications with Microsoft Excel by: (Electronic resources)

Introductory statistics for engineering experimentation DUP_1 by: (Electronic resources)

Data analysis and statistics for geography, environmental science, and engineering / by: (Language materials, printed)

The stochastic perturbation method for computational mechanics by: (Electronic resources)

Excel 2013 for engineering statistics = a guide to solving practical problems / by: (Electronic resources)

Introduction to quantitative data analysis in the behavioral and social sciences / by: (Language materials, printed)

Probability & statistics for engineers & scientists / by: (Language materials, printed)