Listing 1 - 5 of 5 |
Sort by
|
Choose an application
This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic.
Experimental design. --- Research, Industrial. --- Plan d'expérience. --- Recherche industrielle. --- Experimental design --- Research, Industrial --- Scientific research.
Choose an application
While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laboratory Experiments in the Social Sciences summarizes how to design and conduct scientifically sound experiments, be they from surveys, interviews, observations, or experimental methods. The book encompasses how to collect reliable data, the appropriate uses of different methods, and how to avoid or resolve common problems in experimental research. Case study examples illustrate how multiple
Social sciences --- Experimental design. --- Experiments. --- Sciences sociales --- Plan d'expérience --- Expériences. --- Plan d'expérience --- Expériences.
Choose an application
Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the p
Analytical chemistry --- Chemometrics. --- Experimental design. --- Chemistry --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Mathematics --- Statistical methods --- Experiments --- Methodology --- Experimental design --- Chimie analytique --- Plan d'expérience --- Méthodes statistiques
Choose an application
Causation --- Experiments. --- #PBIB:2002.4 --- #SBIB:303H12 --- #SBIB:303H510 --- #SBIB:303H520 --- 001.8 --- 001.8 Methodologie in de wetenschap --- Methodologie in de wetenschap --- Causality --- Cause and effect --- Effect and cause --- Final cause --- Beginning --- God --- Metaphysics --- Philosophy --- Necessity (Philosophy) --- Teleology --- Experiments --- Methoden en technieken: sociale wetenschappen --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Statistical science --- Mathematical statistics --- Research Design. --- Research --- Causalité --- education. --- Expériences. --- Science. --- Experimental design --- Plan d'expérience --- Wetenschappelijk onderzoek --- Recherche scientifique --- Offprints --- Research Design --- education
Choose an application
The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's mission. Application of proposed methodology is justified, usually by means of an actual problem in the physical, chemical, or engineering sciences. Papers in the journal reflect modern practice. This includes an emphasis on new statistical approaches to screening, modeling, pattern characterization, and change detection that take advantage of massive computing capabilities. Papers also reflect shifts in attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).
Engineering sciences. Technology --- Mathematical statistics --- Statistics --- Experimental design --- Quality control --- Plan d'expérience --- Qualité --- Statistique --- periodicals --- Periodicals --- Periodicals. --- Périodiques --- Contrôle --- Qualité --- Plan d'expérience --- Contrôle --- #ETEW:TSCAT --- #BA02225 --- #TS:WBIB --- Information Technology --- Mathematical Sciences --- Data Storage and Data Mining --- Applied Mathematics --- -Quality control --- -Experimental design --- -Statistics --- -310.5 --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- Analysis of variance --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Electronic information resources --- Experiments --- Methodology --- E-journals --- Périodiques --- EJSTATI EPUB-ALPHA-T EPUB-PER-FT JSTOR-E TAYFRA-E --- Wiskundige statistiek --- Ingenieurswetenschappen. Technologie --- Statistics as topic. --- Statistics as Topic. --- Area Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Statistical --- Study, Statistical --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Experimental design - Periodicals. --- Quality control - Periodicals. --- Statistics - Periodicals.
Listing 1 - 5 of 5 |
Sort by
|