Cargando…
Introductory Statistical Inference with the Likelihood Function
This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. This book is about some of the basic principles of statistics that are necessary to u...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
| Edición: | 1st ed. 2014. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-10461-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220118070218.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 141031s2014 sz | s |||| 0|eng d | ||
| 020 | |a 9783319104614 |9 978-3-319-10461-4 | ||
| 024 | 7 | |a 10.1007/978-3-319-10461-4 |2 doi | |
| 050 | 4 | |a QH323.5 | |
| 072 | 7 | |a PBT |2 bicssc | |
| 072 | 7 | |a MED090000 |2 bisacsh | |
| 072 | 7 | |a PBT |2 thema | |
| 082 | 0 | 4 | |a 570.15195 |2 23 |
| 100 | 1 | |a Rohde, Charles A. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Introductory Statistical Inference with the Likelihood Function |h [electronic resource] / |c by Charles A. Rohde. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2014. | |
| 300 | |a XVI, 332 p. 12 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 520 | |a This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. This book is about some of the basic principles of statistics that are necessary to understand and evaluate methods for analyzing complex data sets. The likelihood function is used for pure likelihood inference throughout the book. There is also coverage of severity and finite population sampling. The material was developed from an introductory statistical theory course taught by the author at the Johns Hopkins University's Department of Biostatistics. Students and instructors in public health programs will benefit from the likelihood modeling approach that is used throughout the text. This will also appeal to epidemiologists and psychometricians. After a brief introduction, there are chapters on estimation, hypothesis testing, and maximum likelihood modeling. The book concludes with sections on Bayesian computation and inference. An appendix contains unique coverage of the interpretation of probability, and coverage of probability and mathematical concepts. | ||
| 650 | 0 | |a Biometry. | |
| 650 | 0 | |a Statistics . | |
| 650 | 1 | 4 | |a Biostatistics. |
| 650 | 2 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Statistics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319104621 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319104607 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319374819 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-10461-4 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||