Abdelhak M. Zoubir, Technische Universität, Darmstadt, Germany, Visa Koivunen, Aalto University, Finland, Esa Ollila Aalto University, Finland, Michael Muma Technische Universität, Darmstadt, Germany.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New York, NY, USA :
نام ناشر، پخش کننده و غيره
Cambridge University Press,
تاریخ نشرو بخش و غیره
2018.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Half-title; Title page; Copyright information; Contents; Preface; Abbreviations; List of Symbols; 1 Introduction and Foundations; 1.1 History of Robust Statistics; 1.2 Robust M-estimators for Single-Channel Data; 1.2.1 Location and Scale Estimation; Maximum Likelihood Estimation of Location and Scale; M-estimation of Location and Scale; 1.3 Measures of Robustness; 1.3.1 The Influence Function and Qualitative Robustness; Sensitivity Curve; The Influence Function; Qualitative Robustness of an Estimator; 1.3.2 The Breakdown Point and Quantitative Robustness; The Breakdown Point
متن يادداشت
2.5 ML- and M-estimates of Regression with an Auxiliary Scale Estimate2.5.1 Objective Function Approach vs. Estimating Equation Approach; 2.5.2 Examples of Loss Functions; 2.5.3 Computation Using the Iteratively Reweighted Least Squares Algorithm; 2.6 Joint M-estimation of Regression and Scale Using Huber's Criterion; 2.6.1 Minimization-Majorization Algorithm; 2.6.2 Minimization-Majorization Algorithm for Huber's Criterion; 2.7 Measures of Robustness; 2.7.1 Outliers in the Linear Regression Model; 2.7.2 (p+1)-dimensional Influence Function; 2.7.3 Breakdown Point
متن يادداشت
3.3.2 Subgradient Equations for the Lasso/Elastic Net3.3.3 Computation of the Lasso/Elastic Net; Cyclic Coordinate Descent Algorithm; Pathwise Coordinate Descent; 3.4 The Least Absolute Deviation-Lasso and the Rank-Lasso; 3.4.1 Simple Linear Regression (p = 1); 3.4.2 The Computation of Least Absolute Deviation-Lasso and Rank-Lasso Estimates: p> 1 Case; 3.4.3 The Fused Rank-Lasso; Image Denoising Example; 3.5 Joint Penalized M-estimation of Regression and Scale; 3.5.1 Algorithm; 3.6 Penalty Parameter Selection; 3.7 Application Example: Prostate Cancer; 3.8 Concluding Remarks
متن يادداشت
The Maximum-Bias Curve1.4 Concluding Remarks; 2 Robust Estimation: The Linear Regression Model; 2.1 Complex Derivatives and Optimization; 2.2 The Linear Model and Organization of the Chapter; 2.3 The Least Squares Estimator; 2.4 Least Absolute Deviation and Rank-Least Absolute Deviation Regression; 2.4.1 Simple Linear Regression without an Intercept; Weighted Median Regression: The Real-Valued Case; Weighted Median Regression: The Complex-Valued Case; 2.4.2 Simple Linear Regression with Intercept; 2.4.3 Computation of Least Absolute Deviation and Rank-Least Absolute Deviation Estimates
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Understand the benefits of robust statistics for signal processing using this unique and authoritative text.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Robust statistics.
موضوع مستند نشده
Signal processing-- Mathematics.
موضوع مستند نشده
MATHEMATICS-- Applied.
موضوع مستند نشده
MATHEMATICS-- Probability & Statistics-- General.
موضوع مستند نشده
Robust statistics.
موضوع مستند نشده
Signal processing-- Mathematics.
مقوله موضوعی
موضوع مستند نشده
MAT-- 003000
موضوع مستند نشده
MAT-- 029000
رده بندی ديویی
شماره
519
.
5
ويراست
23
رده بندی کنگره
شماره رده
QA276
نشانه اثر
.
Z68
2018eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )