Engineering - Statistical methods.

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)

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

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

Degrees of belief :subjective probability and engineering judgment / by: (Language materials, printed)

Statistical design and analysis of experiments :with applications to engineering and science / by: (Electronic resources)

Probability concepts in engineering :emphasis on applications in civil & environmental engineering / by: (Language materials, printed)

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

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

Statistics and probability for engineering applications with Microsoft Excel / by: (Language materials, printed)

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

Statistical design of experiments with engineering applications / by: (Language materials, printed)

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

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

Whys and hows in uncertainty modelling :probability, fuzziness and anti-optimization / by: (Language materials, printed)

Modern engineering statistics / by: (Electronic resources)

Nonparametric statistics with applications to science and engineering / by: (Electronic resources)

Springer Handbook of Engineering Statistics by: (Electronic resources)

Probability theory and mathematical statistics for engineers by: (Electronic resources)

Decisions under uncertainty :probabilistic analysis for engineering decisions / by: (Language materials, printed)

Nonparametric statistics with applications to science and engineering / by: (Language materials, printed)

Introduction to engineering statistics and lean sigmastatistical quality control and design of experiments and systems / by: (Electronic resources)

Statistical methods for engineers / by: (Language materials, printed)

Processing random data :statistics for engineers and scientists / by: (Language materials, printed)

Bayesian methods for structural dynamics and civil engineering / by: (Language materials, printed)

Applied data analysis and modeling for energy engineers and scientists by: (Electronic resources)

Methods and applications of statistics in engineering, quality control, and the physical sciences / by: (Language materials, printed)

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

Random dataanalysis and measurement procedures / by: (Electronic resources)

Introductory statistics for engineering experimentation by: (Electronic resources)

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

The stochastic perturbation method for computational mechanics by: (Language materials, printed)

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

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

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

Excel 2016 for engineering statisticsa guide to solving practical problems / by: (Electronic resources)

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

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

Statistics for process control engineersa practical approach / by: (Electronic resources)

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

Uncertainty modeling for engineering applications by: (Electronic resources)

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

Statistics for engineers :an introduction with examples from practice / by: (Language materials, printed)

Statistics for engineersan introduction with examples from practice / by: (Electronic resources)

Excel crash course for engineers by: (Electronic resources)

Uncertainty in engineeringintroduction to methods and applications / by: (Electronic resources)

Handbook of probabilistic models by: (Electronic resources)

Engineering statisticsan introduction / by: (Electronic resources)

Springer handbook of engineering statistics by: (Electronic resources)

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

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