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Risk Assessment: Theory Methods and Applications (Statistics in Practice)
Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)
Numerical Methods for Engineers and Scientists: An Introduction with Applications Using MATLAB
Introduction to Reliability Engineering
Electrochemical Methods: Fundamentals and Applications
Landscape Genetics: Concepts Methods Applications
High Throughput Screening: Methods Techniques and Applications
An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases: Analysis Algorithms and Applications (Texts in Computational Science and Engineering
Advanced Power Applications for System Reliability Monitoring (Power Systems)
An Introduction to Reliability and Maintainability Engineering
Research Methods and Statistics in Psychology
Risk and Reliability Analysis: Theory and Applications: In Honor of Prof. Armen Der Kiureghian (Springer Series in Reliability Engineering)
Materials and Processes: for Spacecraft and High Reliability Applications (Springer Praxis Books)
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
Introduction to the Practice of Statistics
An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics (Wiley Series in Probability and Statistics)
Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)
Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)
Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)
Financial Accounting: An Introduction to Concepts Methods and Uses
Immersed Boundary Method: Development and Applications (Computational Methods in Engineering & the Sciences)
Mathematics for Reliability Engineering: Modern Concepts and Applications (De Gruyter Series on the Applications of Mathematics in Engineering and Information S
Evaluation Theory Models and Applications (Research Methods for the Social Sciences)
Regression Methods in Biostatistics: Linear Logistic Survival and Repeated Measures Models (Statistics for Biology and Health)
Introduction to Cryptography with Open-Source Software (Discrete Mathematics and Its Applications)
An Introduction to Statistics and Data Analysis Using Stata?: From Research Design to Final Report
Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences Geography and Envir
Reliability and Optimal Maintenance (Springer Series in Reliability Engineering)
Advanced Reliability Models and Maintenance Policies (Springer Series in Reliability Engineering)
Lead-free Soldering Process Development and Reliability (Quality and Reliability Engineering Series)
Applied Reliability
Success at Statistics
Reliability and Maintainability Assessment of Industrial Systems: Assessment of Advanced Engineering Problems (Springer Series in Reliability Engineering)
Reliability and Availability of Cloud Computing
System Safety and Reliability Analysis: Course Notes
Process Plant Equipment: Operation Control and Reliability
Machine Learning: Advances in Research and Applications (Computer Science Technology and Applications)
Semiconductor Packaging: Materials Interaction and Reliability
Fundamental Statistics for the Behavioral Sciences
Statistics: Unlocking the Power of Data
Elementary Statistics Using the TI-83/84 Plus Calculator -- MyLab Statistics with Pearson eText Access Code
Understanding GPS/GNSS: Principles and Applications (Gnss Technology and Applications Series)
Lifeline Engineering Systems: Network Reliability Analysis and Aseismic Design
Control Systems Safety Evaluation & Reliability (International Society of Automation)
Software Reliability Engineering: More Reliable Software Faster And Cheaper
Reliability Engineering (Wiley Series in Systems Engineering and Management)
Statistics for the Behavioral Sciences
Silicon Analog Components: Device Design Process Integration Characterization and Reliability
Introduction to Algebra (Art of Problem Solving Introduction)
Practicing Leadership Principles and Applications
Adaptive Filters: Theory and Applications
Applied Statistics I: Basic Bivariate Techniques
Practical Statistics for Data Scientists: 50 Essential Concepts
Social Statistics for a Diverse Society
The Practice of Statistics
Mathematical Statistics with Resampling and R Second Edition
Reliability and Life Testing Handbook: v. 1
Reliability and Life Testing Handbook: v. 2
Design for Excellence in Electronics Manufacturing (Quality and Reliability Engineering Series)
Introduction to Electric Circuits
Introduction to Peace and Conflict Studies
Designing With Color: Concepts and Applications
Pattern Recognition and Machine Learning (Information Science and Statistics)
Basic Statistics for Business & Economics
Applied Statistics II: Multivariable and Multivariate Techniques
Modern Statistics for Modern Biology
Systems Engineering: Reliability Analysis Using k-out-of-n Structures
Best Practices in Quantitative Methods
Introduction to Leadership
SOC 6: Introduction to Sociology
Introduction to Policing
Statistical Learning from a Regression Perspective (Springer Texts in Statistics)
Applied Econometric Time Series (Wiley Series in Probability and Statistics)
IBM SPSS Statistics Grad Pack Premium V27.0 12か月ライセンス コンピューター2台用
AI Engineering: Building Applications with Foundation Models
Graph Neural Networks: Foundations Frontiers and Applications
Reliability and Radiation Effects in Compound Semiconductors
Measures of Interobserver Agreement and Reliability (Chapman & Hall/CRC Biostatistics Series)
The Mechanics and Reliability of Films Multilayers and Coatings
Research Methods for the Behavioral Sciences
Artificial Neural Networks (Methods in Molecular Biology 2190)
Designing and Conducting Mixed Methods Research
Clinical Audiology: An Introduction
An Introduction to Language
Introduction to Business Law
Materials Science and Engineering: An Introduction
Introduction to Educational Research
The Essentials of Statistics: A Tool for Social Research
Network Flows: Theory Algorithms and Applications
Network Security Essentials: Applications and Standards
Remote Sensing: Principles Interpretation and Applications
Biology: Concepts & Applications (Mindtap Course List)
Reliability of Power Electronic Converter Systems (Energy Engineering)
Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
Population: An Introduction to Concepts and Issues
Introduction to Chemistry
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