Gedeck, Peter
84  Ergebnisse:
Personensuche X
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1

Reliability Analysis:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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2

Computer Experiments:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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3

Advanced Methods of Statistical Process Control:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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4

Basic Tools and Principles of Process Control:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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5

Cybermanufacturing and Digital Twins:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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6

Quality by Design:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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7

Classical Design and Analysis of Experiments:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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8

Multivariate Statistical Process Control:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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9

Sampling Plans for Batch and Sequential Inspection:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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10

Industrial Statistics: A Computer-Based Approach with Pytho 

Statistics for Industry, Technology, and Engineering
Kenett, Ron S ; Zacks, Shelemyahu ; Gedeck, Peter - 1st ed. 2023 . , 2023
 
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11

Bayesian Reliability Estimation and Prediction:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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12

The Role of Statistical Methods in Modern Industry:

, In: Statistics for Industry, Technology, and Engineering; Industrial Statistics,
 
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13

Modern Statistics: A Computer-Based Approach with Python 

Statistics for Industry, Technology, and Engineering
Kenett, Ron S ; Zacks, Shelemyahu ; Gedeck, Peter - 1st ed. 2022 . , 2022
 
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14

Modern Analytic Methods: Part II:

, In: Statistics for Industry, Technology, and Engineering; Modern Statistics,
Kenett, Ron ; Zacks, Shelemyahu ; Gedeck, Peter - p. 395-419 , 2022
 
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15

Probability Models and Distribution Functions:

, In: Statistics for Industry, Technology, and Engineering; Modern Statistics,
 
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