Dekorationsartikel gehören nicht zum Leistungsumfang.
Sprache:
Englisch
74,45 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
Kategorien:
Beschreibung
A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.
A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.
Über den Autor
Susan Holmes is Professor of Statistics at Stanford University, California. She specializes in exploring and visualizing multidomain biological data, using computational statistics to draw inferences in microbiology, immunology and cancer biology. She has published over 100 research papers, and has been a key developer of software for the multivariate analyses of complex heterogeneous data. She was the Breiman Lecturer at NIPS 2016, has been named a Fields Institute fellow, and is currently a fellow at the Center for the Advances Study of the Behavioral Sciences.
Inhaltsverzeichnis
Introduction; 1. Generative models for discrete data; 2. Statistical modeling; 3. High-quality graphics in R; 4. Mixture models; 5. Clustering; 6. Testing; 7. Multivariate analysis; 8. High-throughput count data; 9. Multivariate methods for heterogeneous data; 10. Networks and trees; 11. Image data; 12. Supervised learning; 13. Design of high-throughput experiments and their analyses; Statistical concordance; Bibliography; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781108705295 |
ISBN-10: | 1108705294 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Holmes, Susan
Huber, Wolfgang |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 280 x 220 x 24 mm |
Von/Mit: | Susan Holmes (u. a.) |
Erscheinungsdatum: | 28.02.2019 |
Gewicht: | 1,128 kg |
Über den Autor
Susan Holmes is Professor of Statistics at Stanford University, California. She specializes in exploring and visualizing multidomain biological data, using computational statistics to draw inferences in microbiology, immunology and cancer biology. She has published over 100 research papers, and has been a key developer of software for the multivariate analyses of complex heterogeneous data. She was the Breiman Lecturer at NIPS 2016, has been named a Fields Institute fellow, and is currently a fellow at the Center for the Advances Study of the Behavioral Sciences.
Inhaltsverzeichnis
Introduction; 1. Generative models for discrete data; 2. Statistical modeling; 3. High-quality graphics in R; 4. Mixture models; 5. Clustering; 6. Testing; 7. Multivariate analysis; 8. High-throughput count data; 9. Multivariate methods for heterogeneous data; 10. Networks and trees; 11. Image data; 12. Supervised learning; 13. Design of high-throughput experiments and their analyses; Statistical concordance; Bibliography; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781108705295 |
ISBN-10: | 1108705294 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Holmes, Susan
Huber, Wolfgang |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 280 x 220 x 24 mm |
Von/Mit: | Susan Holmes (u. a.) |
Erscheinungsdatum: | 28.02.2019 |
Gewicht: | 1,128 kg |
Sicherheitshinweis