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Estimation theory
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R. Deutsch |
Estimation theory ie an important discipline of great practical importance in many areas, as is well known. Recent developments in the information sciences—for example, statistical communication theo… |
OL12981332W |
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Street-fighting mathematics
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Sanjoy Mahajan |
In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditi… |
OL13844288W |
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Robust Statistical Procedures
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Pranab Kumar Sen |
A broad and unified methodology for robust statistics—with exciting new applications
Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more div… |
OL15110968W |
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Parallel scientific computing and optimization
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Raimondas Čiegis |
Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained cha… |
OL15625015W |
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Optimal estimation of dynamic systems
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John L. Crassidis |
"Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Ac… |
OL16142520W |
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A comparison of the Bayesian and frequentist approaches to estimation
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Francisco J. Samaniego |
"This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having … |
OL16262611W |
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Unified methods for censored longitudinal data and causality
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M. J. van der Laan |
"This book provides a fundamental statistical framework for the analysis of complex longitudinal data. It provides the first comprehensive description of optimal estimation techniques based on time-d… |
OL16315236W |
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Density Estimation for Statistics and Data Analysis
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B. W. Silverman |
Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to … |
OL175885W |
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Small Area Statistics
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J. N. K. Rao,Richard Platek,R. Platek,C. E. Sarndal |
Presented here are the most recent developments in the theory and practice of small area estimation. Policy issues are addressed, along with population estimation for small areas, theoretical develop… |
OL19184305W |
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Statistical inference under order restrictions
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H. D. Brunk,J. M. Bremner,Richard E. Barlow |
The general class of problems explored here are those of estimation and testing when the parameters or characteristics of a model are, a priori, constrained to lie in a region defined by order restri… |
OL19574482W |
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The Cross-Entropy Method
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Reuven Y. Rubinstein |
The cross-entropy (CE) method is one of the most significant developments in stochastic optimization and simulation in recent years. This book explains in detail how and why the CE method works. The … |
OL19838745W |
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Empirical Process Techniques for Dependent Data
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Herold Dehling |
Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of pa… |
OL19847057W |
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Selected Works of Peter J. Bickel
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Jianqing Fan |
This volume presents selections of Peter J. Bickel’s major papers, along with comments on their novelty and impact on the subsequent development of statistics as a discipline. Each of the eight parts… |
OL19901395W |
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Statistical Inference Via Convex Optimization
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Arkadi Nemirovski,Anatoli Juditsky |
This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis te… |
OL20654551W |
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Orthonormal Series Estimators
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Odile Pons |
The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis. This book presents series estimators defined by projec… |
OL20942132W |
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Asymptotic Statistical Inference
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Shailaja Deshmukh,Madhuri Kulkarni |
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures. The most … |
OL22641342W |
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Statistical Modeling, Linear Regression and ANOVA
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Hamid Ismail |
Statistical modeling is a branch of advanced statistics and a critical component of many applications in science and business. This book is an attempt to satisfy the need of mathematical statistician… |
OL23612893W |
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Estimation of variance components and applications
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Rao, C. Radhakrishna |
Estimation of variance components arises in many fields of applied research, for instance in multistage sampling in sample surveys, in determining variation due to different causes in industrial prod… |
OL330194W |
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Theory of errors and generalized matrix inverses
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Arne Bjerhammar |
xii, 420 p. 25 cm |
OL5155582W |
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Empirical Likelihood
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Art B. Owen |
Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over re… |
OL8948434W |