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2009, Wiley Series in Probability and Statistics, ISBN 0470027266, xiv, 268
"The authors are to be congratulated for providing consulting statisticians and advanced students of statistics with an excellent guide to the rich methodology... 
Statistical methods | Biometry | Biomathematics
Book
Journal of the American Statistical Association, ISSN 0162-1459, 09/2013, Volume 108, Issue 503, p. 1021
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2013, Volume 108, Issue 503, p. 1021
  This article presents a new estimation method for the parameters of a time series model.We consider here composite Gaussian processes that are the sum of... 
Parameter estimation | Simulation | Normal distribution | Stochastic models | Asymptotic methods
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2013, Volume 108, Issue 503, pp. 1021 - 1030
This article presents a new estimation method for the parameters of a time series model. We consider here composite Gaussian processes that are the sum of... 
Signal processing | Allan variance | Kalman filter | Time series | Theory and Methods | SHRINKAGE | ALLAN-VARIANCE | TIME-SERIES | STATISTICS & PROBABILITY
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2011, Volume 106, Issue 493, p. 203
  Large datasets are increasingly common in many research fields. In particular, in the linear regression context, it is often the case that a huge number of... 
Parameter estimation | Regression analysis | Random variables | Criteria | Research | Statistics
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2011, Volume 106, Issue 493, pp. 203 - 212
Large datasets are increasingly common in many research fields. In particular, in the linear regression context, it is often the case that a huge number of... 
Journal Article
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 2010, Volume 140, Issue 7, pp. 1852 - 1862
To assess the quality of the fit in a multiple linear regression, the coefficient of determination or is a very simple tool, yet the most used by... 
Outliers | Correlation | R-squared | Efficiency | Consistency | MULTIPLE CORRELATION-COEFFICIENT | PREDICTION ERROR | CROSS-VALIDATION | CREATININE | STATISTICS & PROBABILITY | LINEAR-MODEL SELECTION
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 01/2019, Volume 114, Issue 525, pp. 146 - 157
Journal Article
IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, 07/2014, Volume 50, Issue 3, pp. 2269 - 2283
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2010, Volume 105, Issue 491, pp. 1126 - 1134
Generalized Linear Latent Variables Models (GLLVM) enable the modeling of relationships between manifest and latent variables, where the manifest variables are... 
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2010, Volume 105, Issue 491, p. 1126
  Generalized Linear Latent Variables Models (GLLVM) enable the modeling of relationships between manifest and latent variables, where the manifest variables... 
Bootstrap method | Regression analysis | Research | Statistics | Sampling techniques
Journal Article
Statistical Methods and Applications, ISSN 1618-2510, 12/2018, Volume 27, Issue 4, pp. 595 - 602
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust monitoring based on high breakdown point estimators is proposed... 
S-estimators | Out-of-sample inference | Mixed models | Deviating cells | LOCATION | REGRESSION | OUTLIER DETECTION | DISPERSION | FAST ALGORITHM | STATISTICS & PROBABILITY | PRINCIPAL-COMPONENTS | ROBUST MODEL SELECTION | HIGH BREAKDOWN-POINT | COVARIANCE MATRICES | Factor analysis | Data management | Diagnostic systems | Robustness | Environmental monitoring | Multivariate analysis | Estimators
Journal Article
Measurement Science and Technology, ISSN 0957-0233, 08/2011, Volume 22, Issue 8, p. 85204
Stochastic modeling is a challenging task for low-cost sensors whose errors can have complex spectral structures. This makes the tuning process of the INS/GNSS... 
IMU | Allan variance | error modeling | EM algorithm | MAXIMUM-LIKELIHOOD | INSTRUMENTS & INSTRUMENTATION | ENGINEERING, MULTIDISCIPLINARY | FREQUENCY STABILITY | VARIANCE
Journal Article
IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, 07/2012, Volume 48, Issue 3, pp. 2015 - 2031
Journal Article
Econometrics, ISSN 2225-1146, 06/2018, Volume 6, Issue 2, p. 22
In this paper, we study the finite sample accuracy of confidence intervals for index functional built via parametric bootstrap, in the case of inequality... 
Income distribution | Parametric bootstrap | Inequality measurement | Heavy tail | Generalized method of moments | Hypothesis testing | Confidence intervals | Economic models | Hypotheses | Econometrics | Portfolio management | Inequality | parametric bootstrap | generalized method of moments | inequality measurement | heavy tail | income distribution
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2004, Volume 66, Issue 4, pp. 893 - 908
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 06/2006, Volume 101, Issue 474, p. 644
  Latent variable models are used for analyzing multivariate data. Recently, generalized linear latent variable models for categorical, metric, and mixed-type... 
Robust control | Variables | Mathematical models | Estimating techniques
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2006, Volume 101, Issue 473, p. 292
  Mixed linear models are used to analyze data in many settings. These models have a multivariate normal formulation in most cases. The maximum likelihood... 
Robust control | Parameter estimation | Simulation | Models | Statistics
Journal Article
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