𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Analysis of cellulose–cellulase adsorption data: A fundamental approach

✍ Scribed by Joseph Y. Stuart; Don L. Ristroph


Publisher
John Wiley and Sons
Year
1985
Tongue
English
Weight
276 KB
Volume
27
Category
Article
ISSN
0006-3592

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


A Different Approach to the Analysis of
✍ Chap T. Le 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 222 KB 👁 1 views

The observed mortality of a group of individuals often needs t o be compared with that expected from the death rates of the national population, with allowance made for period, age, 8ex and race. This is achieved by the person-years or subject-years method. A different approech is propod which leads

Application of a New Graphical Fitting A
✍ Andree Schwake; Holger Geuking; Karl Cammann 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 85 KB 👁 1 views

A new grahical method for analyzing impedance data presented in the complex plane plot is introduced. The advantage of our approach is that it can be employed easily with commonly available spreadsheet calculation software like Microsoft Excel, beneficial when no CNLS software is available. A semic

A Bayesian approach to the analysis of e
✍ Worrall, Fred; Wooff, David A.; Seheult, Allan H.; Coolen, Frank P. A. 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 269 KB 👁 2 views

With the harmonisation of data requirements for pesticide registration under EC Directive 91/414 there is need for progress on the techniques used to analyse such data and so help make consistent the judgements applied by national regulatory authorities. This paper proposes a Bayesian technique for

Feed forward neural networks for the ana
✍ Elia Biganzoli; Patrizia Boracchi; Luigi Mariani; Ettore Marubini 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 197 KB 👁 1 views

Flexible modelling in survival analysis can be useful both for exploratory and predictive purposes. Feed forward neural networks were recently considered for flexible non-linear modelling of censored survival data through the generalization of both discrete and continuous time models. We show that b