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Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. It has two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and, occasionally, insightful reviews, addressing the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences, and related fields. ARCS articles provide benchmarks for future applications in any of these areas: Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, and/or more elegant data description.

Mathematics --- Psychology --- Psychometrics --- Psychométrie --- Psychologie --- Periodicals --- Methodology --- Périodiques --- Méthodologie --- Psychométrie --- Psychometrics. --- Psychométrie. --- Health Sciences --- Neurology --- Psychiatry & Psychology --- Health Sciences. --- Psychiatry & Psychology. --- Périodiques --- Méthodologie --- EJPSYCH EPUB-ALPHA-P EPUB-PER-FT MDPSYCHO SPRINGER-E --- MDPSYCHO --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Psychometric --- Statistics as Topic --- Measurement --- Scaling

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Biostatistics. --- Models, Biological. --- Biometry. --- Life sciences --- Biomathmatics --- Anthropology, Physical --- Statistics as Topic --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Biological Statistics --- Biological Statistic --- Statistic, Biological --- Statistics, Biological --- Mathematical models --- Mathematics --- Biology --- biomathematics --- biophysics --- computational biology --- theoretical biology --- ecology --- biotechnology --- Mathematical Biology. --- Biometry

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Many radiological manuscripts are burdened by limitations relating to study design, definition of enrollment criteria and standard of reference, lack of preliminary estimation of sample size, and incorrect use of statistical tests. These limitations sometimes oblige the reviewer to recommend rejection of a manuscript more frequently than would be the case if rejection were based solely on inherent errors in technical performance or interpretation of imaging modalities. An underlying aim of this book is to facilitate the interaction between radiologists and statisticians by explaining the basics of statistical methods as applied to medical imaging. The intention is to help develop a way of thinking beyond merely how to perform calculations and get p values. Thus, radiologists will be able to solve small statistical problems and, more importantly, to assume the right perspective during the crucial phase when a study is planned and undertaken.

Biomathematics. Biometry. Biostatistics --- Physical methods for diagnosis --- medische statistiek --- biostatistiek --- radiologie --- biometrie --- medische beeldvorming --- Medical radiology --- Biometry. --- Medical statistics. --- Radiography. --- Statistics. --- Biometry --- Radiography --- Statistics as Topic --- Radiologie médicale --- Biométrie. --- Radiographie. --- Statistiques. --- biometrics. --- SCIENCE --- Radiology, Medical --- Statistical methods. --- Méthodes statistiques. --- Physics --- Electromagnetism. --- Radiation. --- afbeelden --- imagery --- geneeskunde --- medicine --- volksgezondheid --- public health --- radiology --- levenswetenschappen --- life sciences --- toegepaste statistiek --- applied statistics --- Medicine (General) --- Geneeskunde (algemeen)

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The International Statistical Review (ISR) is the flagship journal of the International Statistical Institute and of its constituent sections (the Bernoulli Society for Mathematical Statistics and Probability, the International Association for Official Statistics, the International Association for Statistical Computing, the International Association for Statistical Education, the International Association of Survey Statisticians and the International Society for Business and Industrial Statistics). The ISR is widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the ISR is to publish papers of an expository, review, or tutorial nature that will be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.

Statistical science --- Mathematical statistics --- Statistics --- Statistique --- Periodicals --- Périodiques --- Statistique. --- 31.73 mathematical statistics --- Étude et enseignement --- -Statistics --- -519.505 --- Statistical analysis --- Statistical data --- Statistical methods --- Mathematics --- Econometrics --- E-journals --- Mathematical Sciences --- Périodiques --- EJSTATI EPUB-ALPHA-I EPUB-PER-FT JSTOR-E WILEY-E --- Statistics as Topic --- Statystyka --- Social sciences --- Statistics as Topic. --- 31.73 mathematical statistics. --- Statistics. --- Statistik --- Mathematische Statistik --- Statistische Mathematik --- Statistische Methode --- Statistisches Verfahren --- Statistiken --- Datensammlung --- Stochastik --- Wahrscheinlichkeitsrechnung --- 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

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The Statistician joined the Journal of the Royal Statistical Society as its Series D from the journal of the Institute of Statisticians after the merger of the two bodies in 1993. The journal was first published by the Institute in 1950 as The Incorporated Statistician. It is now a valuable resource for professional statisticians involved in industry, academic research and education. Articles reflect current research by statisticians worldwide and cover key issues in an informative and accessible way. Some themes of interest to the journal are the teaching and communication of statistics, statistical computing and all aspects of statistics in sport. The journal also aims to bridge the gap between statistical theory and practice and to provide access to currently active or new areas of research by the regular publication of review articles by specialists in these fields. Other important themes include the history and philosophy of statistics and the interaction of statistics with other disciplines as diverse as geography and medicine. The journal thus attempts to reflect the maturity of statistics as a science in its own right and as an intrinsic component of scientific endeavor.

Statistical science --- Statistics --- Statistique --- Periodicals --- Périodiques --- Statistics. --- 31.73 mathematical statistics --- Méthode statistique --- Statistical methods --- #ETEW:TSCAT --- #BA02185 --- #ANTIL0312 --- -310.5 --- Statistical analysis --- Statistical data --- Mathematics --- Econometrics --- Electronic information resources --- E-journals --- Mathematical Sciences --- Mathematical Sciences. --- Périodiques --- EBSCOBSP-E EJSTATI EPUB-ALPHA-S EPUB-PER-FT JSTOR-E MDSTATIS --- 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 --- Statystyka --- Estadística. --- Biometria.