Problem Solving: A statistician's guide, Second editionCRC Press, 11 mai 1995 - 325 pages This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions. |
Table des matières
The stages of a statistical investigation | 7 |
Collecting the data | 13 |
General strategy | 23 |
The initial examination of data | 37 |
The definitive analysis | 75 |
The computer | 93 |
The library | 101 |
Effective report writing | 111 |
Probability distributions | 241 |
Estimation | 245 |
Significance tests | 248 |
Regression | 252 |
Analysis of variance ANOVA | 261 |
The general linear model | 263 |
The generalized linear model | 266 |
Sample surveys | 268 |
PART TWO EXERCISES | 123 |
B Exploring data | 137 |
Correlation and regression | 163 |
Analysing complex largescale data sets | 173 |
E Analysing more structured data | 189 |
F Timeseries analysis | 207 |
G Miscellaneous | 215 |
H Collecting data | 231 |
PART THREE APPENDICES | 235 |
Appendix A A digest of statistical techniques | 237 |
Descriptive statistics | 238 |
Probability | 240 |
The design of experiments | 273 |
Clinical trials | 276 |
Multivariate analysis | 278 |
Timeseries analysis | 282 |
Quality control and reliability | 287 |
Appendix B MINITAB and GLIM | 293 |
Some useful addresses | 305 |
Statistical tables | 307 |
| 311 | |
| 319 | |
| 321 | |
Autres éditions - Tout afficher
Expressions et termes fréquents
alternative ANOVA Appendix approach appropriate arise assess assumptions block boxplots calculate called carried Chatfield coefficient collected column command component correlation data sets denotes descriptive statistics digits distribution dose level effect error estimate example experiment experimental explanatory variables factor factorial experiment forecasting frequencies frequentist function give given graph histogram important inference interactive involved linear model look matrix measure methods MINITAB missing observations model formulation multivariate NF NF normal Notes on Exercise null hypothesis obvious outliers P-value package parameters particular patients plot possible practical principal component analysis probability problem procedure questions random variables residual response variable sample mean scale scatter diagram sensible set of data significance tests specified square standard deviation statistician summary statistics t-test Table techniques time-series analysis transformation treatment two-way usually values variance variation variety vector x₁ zero