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20240329122006.0 |
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230107s2021 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d UKAHL
|d OCLCQ
|d REDDC
|d OCLCF
|d OCLCQ
|d OCLCO
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|a 9781951058173
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|a 1951058178
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|a (OCoLC)1356005489
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|a QA276 .M39 2021
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|a 519.5--dc23
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|a UAMI
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| 100 |
1 |
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|a Mawby, William D.
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| 245 |
1 |
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|a Navigating Big Data Analytics
|h [electronic resource] :
|b Strategies for the Quality Systems Analyst.
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| 260 |
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|a La Vergne :
|b ASQ Quality Press,
|c 2021.
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| 300 |
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|a 1 online resource (135 p.)
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| 500 |
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|a Description based upon print version of record.
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|a Cover -- Title page -- CIP data -- Table of Contents -- List of Figures and Tables -- Introduction -- Chapter 1_An Introduction to -- Deep Learning -- When to Use This Technology -- Defining the Problem -- A Note About Technology -- Navigating Big Data -- Structure of This Book -- Chapter 2_Potential Data Problems and How They Arise -- Rapid Data Collection Concerns -- Format Concerns -- Off-line Testing Data -- Historical Data -- Expert Opinion -- HACCP Applications -- The Problem of Modified Data -- Prevalence of Data Problems -- Data Problem Impact
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| 505 |
8 |
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|a Scoping the Issues Instead of All the Problems -- Chapter 3_Designed Experiments Versus Big Data Analysis -- Statistically Designed Experiments -- Chances of Observing Extreme Settings -- Big Data Limitations -- Costs of Experimentation -- Time Issues -- Coverage of Typical Conditions -- Measurement Error -- Expert Opinion -- Chapter 4_The Challenge of -- The Big Data Approach -- Evaluating the True Impact -- Types of Missing Values -- Big Data Processes -- More Data as a Solution -- The Importance of Identifying Missing Data -- Chapter 5_The Impact of Poor Randomization -- Randomization and Bias
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| 505 |
8 |
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|a Practical Application -- Other Challenges -- Stability -- A Resampling Approach -- The Risk of Losing Data -- Chapter 6_Expert Opinion -- The Essential Difference of the Bayesian Approach -- Lessons from Extreme Priors -- Model Selection Impact -- Causal Analysis -- Chapter 7_Censored Data -- A Big Data Approach -- Shortcomings of Big Data and Censoring -- Correcting the Bias Problem -- Chapter 8_Other Potential Problems -- The Treatment of Outliers -- Missing Data Issues -- Decision Error -- Model Complexity -- Accumulation of Knowledge -- Some General Observations -- Conclusion -- End Notes
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| 505 |
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|a Glossary -- Index -- About the Author
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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|a Big data.
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| 650 |
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|a Quality control.
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| 650 |
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6 |
|a Données volumineuses.
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| 650 |
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6 |
|a Qualité
|x Contrôle.
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| 650 |
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7 |
|a quality control.
|2 aat
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| 650 |
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7 |
|a Big data
|2 fast
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| 650 |
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7 |
|a Quality control
|2 fast
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| 776 |
0 |
8 |
|i Print version:
|a Mawby, William D.
|t Navigating Big Data Analytics
|d La Vergne : ASQ Quality Press,c2021
|z 9781951058159
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7158790
|z Texto completo
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| 938 |
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|a Askews and Holts Library Services
|b ASKH
|n AH41065403
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| 938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL7158790
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| 994 |
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|a 92
|b IZTAP
|
