Treffer 81 - 100 von 22.004

81

Sampling Plans for Batch and Sequential Inspection
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :397-442

E-Book
82

Classical Design and Analysis of Experiments
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :141-224

E-Book
83

DLSIA: Deep Learning for Scientific Image Analysis
Roberts, Eric J ; Chavez, Tanny ; Hexemer, Alexander ; et al.

E-Ressource
84

Modal Reactors
Schulz-Rosengarten, Alexander ; von Hanxleden, Reinhard ; Lohstroh, Marten ; et al.

E-Ressource
85

The Role of Statistical Methods in Modern Industry
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :1-9

E-Book
86

Reliability Analysis
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :319-370

E-Book
87

Basic Tools and Principles of Process Control
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :11-57

E-Book
88

Quality by Design
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :225-264

E-Book
89

Cybermanufacturing and Digital Twins
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :287-317

E-Book
90

Advanced Methods of Statistical Process Control
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :59-111

E-Book
91

Computer Experiments
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :265-286

E-Book
92

Bayesian Reliability Estimation and Prediction
Kenett, Ron S. ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Industrial Statistics : A Computer-Based Approach with Python. :371-396

E-Book
93

Polyglot Modal Models through Lingua Franca
Schulz-Rosengarten, Alexander ; von Hanxleden, Reinhard ; Lohstroh, Marten ; et al.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023. :337-342

Konferenz
94

Analyzing Variability: Descriptive Statistics
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :1-38

E-Book
95

Probability Models and Distribution Functions
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :39-138

E-Book
96

Time Series Analysis and Prediction
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :329-360

E-Book
97

Modern Analytic Methods: Part I
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :361-393

E-Book
98

Metabolic and Textural Changes in the Brain of Lung Cancer Patients: A Total-Body PET/CT Study
Xie, X. ; Lu, W. ; Qiu, J. ; et al.
In International Journal of Radiation Oncology, Biology, Physics 1 November 2022 114(3) Supplement:e365-e366

Fachzeitschrift
99

Sampling for Estimation of Finite Population Quantities
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :299-327

E-Book
100

Variability in Several Dimensions and Regression Models
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter ; et al.
Modern Statistics : A Computer-Based Approach with Python. :225-297

E-Book

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