Statistics in Industry and Government (Handbook of Statistics)

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予約

Statistics in Industry and Government (Handbook of Statistics)

Khattree, Ravindra (EDT)/ So, Hon Yiu (EDT)/ Srinivasa Rao, Arni S.R. (EDT)

ウェブストア価格 ¥50,688（本体¥46,080）
Academic Press Inc（2025/09発売）
外貨定価 US$ 250.00
ポイント 460pt

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製本 Hardcover:ハードカバー版／ページ数 420 p.
言語 ENG
商品コード 9780443314223

Full Description

Statistics plays a central role in industrial quality control and high-class quality maintenance in products. Statistical designs and data collection are central also in government planning and program implementation. These two important aspects of statistical theory and applications will be of focus of this volume. We aim to cover as many applications that use statistics as an underlying tool in bringing the best quality products and industrial designs. Indian Statistical Institute played an important role in developing quality control measures during the 1940s-70s due to C.R. Rao and those methods helped to train several statistical industries and engineers across the world, for example, Genichi Taguchi of Japan, etc who revolutionized industrial quality in Japan. There are several such examples.

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