AuthorSachs, Lothar. author
TitleA Guide to Statistical Methods and to the Pertinent Literature / Literatur zur Angewandten Statistik [electronic resource] / by Lothar Sachs
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 1986
Connect tohttp://dx.doi.org/10.1007/978-3-642-71402-3
Descript XI, 212 p. online resource

SUMMARY

Readers of my books, students and scientists, often ask for speยญ cial references not commonly found in introductory or intermeยญ diate books on statistics. From the titles and contents of 1449 key papers and books which are listed and numbered in Secยญ tion 5, I have selected keywords and subject headings and arยญ ranged them alphabetically together with the numbers of pertiยญ nent references in Section 3. Number 1153, for instance, denotes my book" Applied Statisยญ tics". It contains a bibliographical section on pages 568 to 641. Supplementary material is displayed in this small bibliographiยญ cal guide. It also complements well-known textbooks of Box, Hunter and Hunter (No.121), Dixon and Massey (No.286), Snedecor and Cochran (No. 1238), and many recent competitors. Since the methodology of statistics is expanding rapidly, many methods are not considered at all or only introduced in the basic textbooks of statistics. There is a need for intermediate statistical methods concerned with increasingly complicated apยญ plications of statistics to actual research situations. Here the specification of terms helps to find some sources. Since the refยญ erences vary considerably in length and content, the number of culled or extracted terms per referenced page varies even more, as does also their degree of specialization; however in most cases an intermediate statistical level is maintained


CONTENT

Contents/Inhalt -- 3. Terms/Begriffe -- 4. List of Abbreviations of Journal Titles/Abkรผrzungen einiger Zeitschriften-Titel -- 5. References/Literatur -- 6. Sofware:Some Addresses/Einige Anschriften


SUBJECT

  1. Statistics
  2. Chemometrics
  3. Biomathematics
  4. Computational intelligence
  5. Statistics
  6. Statistics
  7. general
  8. Math. Applications in Chemistry
  9. Computational Intelligence
  10. Physiological
  11. Cellular and Medical Topics