- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Statistics in Industry and Government covers industrial quality control and high-class quality maintenance in products. The book aims to cover as many applications that use statistics as an underlying tool in bringing the best quality products and industrial designs. Chapters in this new release include Analysis of Official Time Series with Ecce Signum, an R Package for Multivariate Signal Extraction and Forecasting, The Maturity Structure of Public Debt: A Granular Approach Using Indian Data, Harnessing the power of spherical intersection: A less arbitrary unsupervised learning method applied to pattern recognition within financial data, and much more.
Other chapters in this release include The Use of Causal Inference with Structural Models in Industry, MSME Statistics in India, The Importance of Accurate, Timely, Credible Crime Data to Inform Crime and Justice Policy, Combining Information from Multiple Sources in Official Statistics, Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs, On the use of machine learning methods for missing data problems, Optimal Experimental Planning for Experiments Based on Coherent Systems with Industrial Applications, and more.
Contents
1. Analysis of Official Time Series with Ecce Signum, an R Package for Multivariate Signal Extraction and Forecasting
Tucker Sprague McElroy and James Livsey
2. The Maturity Structure of Public Debt: A Granular Approach Using Indian Data
Chetan Ghate, Piyali Das and Subhadeep Halder
3. Harnessing the power of spherical intersection: A less arbitrary unsupervised learning method applied to pattern recognition within financial data
Michel Ferreira Cardia Haddad
4. The Use of Causal Inference with Structural Models in Industry
Takashi Isozaki
5. MSME Statistics in India
Poonam Munjal, Palash Baruah and sanjib pohit
6. The Importance of Accurate, Timely, Credible Crime Data to Inform Crime and Justice Policy
Alex R. R. Piquero
7. Combining Information from Multiple Sources in Official Statistics
Changbao Wu
8. Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs
Chunfang Devon Lin, Xinwei Deng and Anita Shahrokhian
9. On the use of machine learning methods for missing data problems
Sixia Chen
10. Optimal Experimental Planning for Experiments Based on Coherent Systems with Industrial Applications
Hon Keung Tony Ng, Erhard Cramer and Yang Yu
11. An overview of models for one-shot device testing data analysis.
Man Ho Ling
12. TBA
Qing Yin
13. TBA
Ram C. Tiwari, JIXIAN WANG and Hongtao Zhang
14. Statistical Innovation: Transforming Pharmaceutical Research and Development
Pandurang M. Kulkarni, Wei Shen, Demissie Alemayehu and Yongming Qu
