When I was young I believe in everything in a book. But books have only limited use due to limitations and time from their authors. On-line journals, archived databases, Google scholar and the Internet have made access to all the important papers possible. Here are some resources which I find to be most interesting and useful at the moment.

• Project Euclid.
  
• Jstor.
• NIST research on measurements and standards:
  • NIST Journal of Research.
  • Celebrating a Century of Excellence in Measurements, Standards, and Technology
  • Best Practice Guides
  • NIST Journal of Research Special Issue on Extreme Value Theory and Applications, Proceedings Volume II.
  • Time Series (in Metrology): Noise, chaos, and the Josephson voltage standard. Introduction to time and frequency metrology. Measurements of oscillator signals. Time scale algorithms.

• Statistical readings:
  • Bayesian: Berger and Dalampady. Box (1980, JRSS) . Wahba (1983).
  • Shape Analysis:
    • Kendall (1984, BLMS). Le and Kendall (1993). Goodall and Mardia (1993, AS).
    • Principal Curves. Mio, Srivastava, Joshi (2006). The corpuscle problem.
    • Bookstein (1986, Stat Sci). Bookstein (1996, BMB). Bookstein (1989, ITPAMI).

• Journal of Multivariate Analysis. Technometrics. Statistical Science. Annals of Applied Statistics. Applied Probability Journals. Annals of Applied Probability. Journal of Time Series Analysis. SIAM Journals.

• Biology Direct. Journal of Theoretical Biology. Biophysical society. Sys-bio Guide in Nature Magazine. Bulletin of Mathematical Biology . Journal of Computational Biology.

• Re-Reading R A Fisher.

• Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability (June 20-July 30 1960).
• Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (June 21-July 18, 1965 and December 27, 1965-January 7, 1966).
• Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability (June 21-July 18, 1970, April 9-12, June 16-21 and July 19-22, 1971).

• J. Canny's Master Thesis, Finding Edges and Lines in Images, 1983.
• Principles of Computerized Tomographic Imaging, A.C. Kak, M. Slaney (1988) .
• Mathematics and Physics of Emerging Biomedical Imaging .
• Spatial Statistics and Digital Image Analysis .