|
QA276 .M537 1992
|
Data analysis for scientists and engineers / |
1 |
|
QA276 .M55 2020
|
Retirement income recipes in R : from ruin probabilities to intelligent drawdowns / |
1 |
|
QA276 .M67 1974
|
Introduction to the theory of statistics |
1 |
|
QA276 .M675 2016
|
Estadística Aplicada a Experimentos y Mediciones |
1 |
|
QA276 .M87
|
Multivariate statistical methods |
1 |
|
QA276 .M92 2007
|
Making sense of data : a practical guide to exploratory data analysis and data mining / |
1 |
|
QA276 .M94 2010
|
Generalized linear models : with applications in engineering and the sciences. |
1 |
|
QA276 .P224 2005eb
|
Advanced statistics from an elementary point of view / |
1 |
|
QA276 .P224 2013
|
Growth Curve Modeling : Theory and Applications. |
1 |
|
QA276 .P252 2020eb
|
Statistical analysis of empirical data : methods for applied sciences / |
1 |
|
QA276 .P276 2014
|
Past, present, and future of statistical science / |
1 |
|
QA276 .P285 1998
|
Once upon a number : the hidden mathematical logic of stories / |
1 |
|
QA276 .P286 2001
|
In All Likelihood : Statistical Modelling and Inference Using Likelihood. |
1 |
|
QA276 .P286 2013
|
In all likelihood : statistical modelling and inference using likelihood / |
1 |
|
QA276 .P365 2018
|
Fundamental statistical inference : a computational approach / |
1 |
|
QA276 .P477 1994eb
|
Parametric statistical theory / |
1 |
|
QA276 .P5313 2023
|
Data science : an introduction to statistics and machine learning / |
1 |
|
QA276.P64
|
Karl Pearson : the scientific life in a statistical age / |
1 |
|
QA276.P64 P67 2004
|
Karl Pearson : the scientific life in a statistical age / |
1 |
|
QA276 .P66 2022
|
Metrics that make a difference : how to analyze change and error / |
1 |