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  • Metaheuristics: : Progress as Real Problem Solvers - Toshihide Ibaraki
    Metaheuristics:
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    Toshihide Ibaraki, ?Koji Nonobe and ?Mutsunori Yagiura
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  • Advanced BDD Optimization - Rudiger Ebendt
    Advanced BDD Optimization
    Rudiger Ebendt, Görschwin Fey and Rolf Drechsler
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  • Data Mining and Knowledge Discovery Handbook : A Complete Guide for Research Scientists and Practitioners - Oded Maimon
    Data Mining and Knowledge Discovery Handbook
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    Oded Maimon and ?Lior Rokach
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  • Essays and Surveys in Global Optimization - Charles Audet
    Essays and Surveys in Global Optimization
    Charles Audet, ?Pierre Hansen and ?Giles Savard
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  • Graph Theory and Combinatorial Optimization - David Avis
    Graph Theory and Combinatorial Optimization
    David Avis, ?Alain Hertz and ?Odile Marcotte
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  • Probability, Statistics and Modelling in Public Health - M.S. Nikulin
    Probability, Statistics and Modelling in Public Health
    M.S. Nikulin, ?Daniel Commenges and ?Catherine HuberCarol
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  • Quantitative Health Risk Analysis Methods : Modeling the Human Health Impacts of Antibiotics Used in Food Animals - Louis Anthony Cox Jr.
    Quantitative Health Risk Analysis Methods
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    Louis Anthony Cox Jr.
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  • Inference for Change Point and Post Change Means After a CUSUM Test - Yanhong Wu
    Inference for Change Point and Post Change Means After a CUSUM Test
    Yanhong Wu
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  • Discrete-Time Markov Chains : Two-Time-Scale Methods and Applications - orge George Yin
    Discrete-Time Markov Chains
    Two-Time-Scale Methods and Applications
    orge George Yin and Qing Zhang
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  • Abstraction, Refinement and Proof for Probabilistic Systems - Annabelle McIver
    Abstraction, Refinement and Proof for Probabilistic Systems
    Annabelle McIver and Charles Carroll Morgan
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  • Statistical and Computational Inverse Problems - Jari Kaipio
    Statistical and Computational Inverse Problems
    Jari Kaipio and E. Somersalo
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  • Permutation, Parametric, and Bootstrap Tests of Hypotheses : A Practical Guide to Resampling Methods for Testing Hypotheses - Phillip I. Good
    Permutation, Parametric, and Bootstrap Tests of Hypotheses
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    Phillip I. Good
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  • Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models - Eric Vittinghoff
    Regression Methods in Biostatistics
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    Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski and Charles E. McCulloch
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  • Probability : A Graduate Course - Allan Gut
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    Allan Gut
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  • Nearest Neighbor Search: : A Database Perspective - Apostolos N. Papadopoulos
    Nearest Neighbor Search:
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    Apostolos N. Papadopoulos and Yannis Manolopoulos
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  • Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™ - Bernd Scherer
    Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™
    Bernd Scherer and R. Douglas Martin
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  • Average-Cost Control of Stochastic Manufacturing Systems - Suresh P. Sethi
    Average-Cost Control of Stochastic Manufacturing Systems
    Suresh P. Sethi, Han-Qin Zhang and Qing Zhang
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  • Statistical and Inductive Inference by Minimum Message Length - C. S. Wallace
    Statistical and Inductive Inference by Minimum Message Length
    C. S. Wallace
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  • Statistical Methods in Molecular Evolution - Rasmus Nielsen
    Statistical Methods in Molecular Evolution
    Rasmus Nielsen
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  • Screening : Methods for Experimentation in Industry, Drug Discovery, and Genetics - Angela Dean
    Screening
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    Angela Dean and ?Susan Lewis
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  • Developing Statistical Software in Fortran 95 - David R. Lemmon
    Developing Statistical Software in Fortran 95
    David R. Lemmon and Joseph L. Schafer
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  • Mathematical Statistics : Exercises and Solutions - Jun Shao
    Mathematical Statistics
    Exercises and Solutions
    Jun Shao
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  • Stochastic Finance - Albert N. Shiryaev
    Stochastic Finance
    Albert N. Shiryaev, ?Maria do Rosário Grossinho and ?Paulo E. Oliveira
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  • The Basics of S-PLUS - Andreas Krause
    The Basics of S-PLUS
    Andreas Krause and Melvin Olson
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  • S+Functional Data Analysis : User's Manual for Windows ® - Douglas B. Clarkson
    S+Functional Data Analysis
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    Douglas B. Clarkson, Chris Fraley, Charles Gu and James Ramsay
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  • An Introduction to Copulas - Roger B. Nelsen
    An Introduction to Copulas
    Roger B. Nelsen
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  • The Grammar of Graphics - Leland Wilkinson
    The Grammar of Graphics
    Leland Wilkinson
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  • Branch-and-Bound Applications in Combinatorial Data Analysis - Michael J. Brusco
    Branch-and-Bound Applications in Combinatorial Data Analysis
    Michael J. Brusco and Stephanie Stahl
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  • Probabilistic Symmetries and Invariance Principles - Olav Kallenberg
    Probabilistic Symmetries and Invariance Principles
    Olav Kallenberg
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  • Models for Discrete Longitudinal Data - Geert Molenberghs
    Models for Discrete Longitudinal Data
    Geert Molenberghs and Geert Verbeke
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  • Modern Multidimensional Scaling : Theory and Applications - I. Borg
    Modern Multidimensional Scaling
    Theory and Applications
    I. Borg and P. J. F. Groenen
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  • Inference in Hidden Markov Models - Olivier Cappé
    Inference in Hidden Markov Models
    Olivier Cappé, Eric Moulines and Tobias Ryden
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  • Nonparametric Monte Carlo Tests and Their Applications - Li-Xing Zhu
    Nonparametric Monte Carlo Tests and Their Applications
    Li-Xing Zhu
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  • Linear Models for Optimal Test Design - Wim J. van der Linden
    Linear Models for Optimal Test Design
    Wim J. van der Linden
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  • Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology - Michel Bilodeau
    Space, Structure and Randomness
    Contributions in Honor of Georges Matheron in t...
    Michel Bilodeau, ?Fernand Meyer and ?Michel Schmitt
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  • Markov Chains : Models, Algorithms and Applications - Wai-Ki Ching
    Markov Chains
    Models, Algorithms and Applications
    Wai-Ki Ching and Michael K. Ng
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  • Applied Semi-Markov Processes - Jacques Janssen
    Applied Semi-Markov Processes
    Jacques Janssen and Raimondo Manca
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  • Multiscale Optimization Methods and Applications - William W. Hager
    Multiscale Optimization Methods and Applications
    William W. Hager, ?ShuJen Huang and ?Panos M. Pardalos
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  • Large-Scale Nonlinear Optimization - Gianni Pillo
    Large-Scale Nonlinear Optimization
    Gianni Pillo and ?Massimo Roma
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  • Data Monitoring in Clinical Trials : A Case Studies Approach - David L. DeMets
    Data Monitoring in Clinical Trials
    A Case Studies Approach
    David L. DeMets, ?Curt D. Furberg and ?Lawrence M. Friedman
    eText
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  • Global Optimization : From Theory to Implementation - Leo Liberti
    Global Optimization
    From Theory to Implementation
    Leo Liberti and ?Nelson Maculan
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  • All of Nonparametric Statistics - Larry Wasserman
    All of Nonparametric Statistics
    Larry Wasserman
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  • Controlled Markov Processes and Viscosity Solutions - Wendell H. Fleming
    Controlled Markov Processes and Viscosity Solutions
    Wendell H. Fleming and Halil Mete Soner
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    $269.01
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  • Sampling Methods : Exercises and Solutions - Pascal Ardilly
    Sampling Methods
    Exercises and Solutions
    Pascal Ardilly and Yves Tillé
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  • Case Studies in Spatial Point Process Modeling - Adrian Baddeley
    Case Studies in Spatial Point Process Modeling
    Adrian Baddeley, ?Pablo Gregori and ?Jorge Mateu Mahiques
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  • Control of Spatially Structured Random Processes and Random Fields with Applications - Ruslan K. Chornei
    Control of Spatially Structured Random Processes and Random Fields with Applications
    Ruslan K. Chornei, Hans Daduna and Pavel S. Knopov
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  • Binomial Models in Finance - John van der Hoek
    Binomial Models in Finance
    John van der Hoek and Robert J Elliott
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  • Functional Approach to Optimal Experimental Design - Viatcheslav B. Melas
    Functional Approach to Optimal Experimental Design
    Viatcheslav B. Melas
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  • Series Approximation Methods in Statistics - John E. Kolassa
    Series Approximation Methods in Statistics
    John E. Kolassa
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  • Modeling Financial Time Series with S-PLUS® - Eric Zivot
    Modeling Financial Time Series with S-PLUS®
    Eric Zivot and Jiahui Wang
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  • Dose Finding in Drug Development - Naitee Ting
    Dose Finding in Drug Development
    Naitee Ting
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  • Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems : A Volume in Honor of Suresh Sethi - Houmin Yan
    Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems
    A Volume in Honor of Suresh Sethi
    Houmin Yan, ?G. George Yin and ?Qing Zhang
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  • Dynamic Regression Models for Survival Data - Torben Martinussen
    Dynamic Regression Models for Survival Data
    Torben Martinussen and Thomas H. Scheike
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  • Stochastic Ageing and Dependence for Reliability - Chin Diew Lai
    Stochastic Ageing and Dependence for Reliability
    Chin Diew Lai and Min Xie
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  • Estimation of Dependences Based on Empirical Data - V. Vapnik
    Estimation of Dependences Based on Empirical Data
    V. Vapnik
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  • Sampling Algorithms - Yves Tillé
    Sampling Algorithms
    Yves Tillé
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  • Introduction to Variance Estimation - Kirk Wolter
    Introduction to Variance Estimation
    Kirk Wolter
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  • Statistical Methods in Counterterrorism : Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication - Alyson Wilson
    Statistical Methods in Counterterrorism
    Game Theory, Modeling, Syndromic Surveillance, ...
    Alyson Wilson, Gregory Wilson and David H. Olwell
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  • Statistical Analysis of Environmental Space-Time Processes - Nhu D. Le
    Statistical Analysis of Environmental Space-Time Processes
    Nhu D. Le and James V. Zidek
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  • Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series - Estela Bee Dagum
    Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
    Estela Bee Dagum and Pierre A. Cholette
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  • Finite Mixture and Markov Switching Models : Modeling and Applications to Random Processes - Sylvia Frühwirth-Schnatter
    Finite Mixture and Markov Switching Models
    Modeling and Applications to Random Processes
    Sylvia Frühwirth-Schnatter
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  • Cycle Representations of Markov Processes - Sophia L. Kalpazidou
    Cycle Representations of Markov Processes
    Sophia L. Kalpazidou
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  • Nonparametric Functional Data Analysis : Theory and Practice - Frédéric Ferraty
    Nonparametric Functional Data Analysis
    Theory and Practice
    Frédéric Ferraty and Philippe Vieu
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  • Markov Decision Processes with Their Applications - Qiying Hu
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    Qiying Hu and Wuyi Yue
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  • A Modern Theory of Factorial Design - Rahul Mukerjee
    A Modern Theory of Factorial Design
    Rahul Mukerjee and C. F. J. Wu
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  • Semiparametric Theory and Missing Data - Anastasios Tsiatis
    Semiparametric Theory and Missing Data
    Anastasios Tsiatis
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  • Graphics of Large Datasets : Visualizing a Million - Antony Unwin
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    Antony Unwin, Martin Theus and Heike Hofmann
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  • Nonlinear Dimensionality Reduction - John A. Lee
    Nonlinear Dimensionality Reduction
    John A. Lee and Michel Verleysen
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  • The Nature of Statistical Evidence - Bill Thompson
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    Bill Thompson
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  • Selected Papers of Frederick Mosteller - Stephen E. Fienberg
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    Stephen E. Fienberg and David C. Hoaglin
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  • Statistical Monitoring of Clinical Trials : A Unified Approach - Michael A. Proschan
    Statistical Monitoring of Clinical Trials
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    Michael A. Proschan, K. K. Gordon Lan and Janet Turk Wittes
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  • A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 - Anders Hald
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    Anders Hald
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  • Fundamentals of Data Mining in Genomics and Proteomics - Werner Dubitzky
    Fundamentals of Data Mining in Genomics and Proteomics
    Werner Dubitzky, ?Martin Granzow and ?Daniel P. Berrar
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  • Data Warehousing and Data Mining Techniques for Cyber Security - Anoop Singhal
    Data Warehousing and Data Mining Techniques for Cyber Security
    Anoop Singhal
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  • Random Fields and Geometry - R. J. Adler
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    R. J. Adler and Jonathan E. Taylor
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  • Cryptanalytic Attacks on RSA - Song Y. Yan
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    Song Y. Yan
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  • Restricted Parameter Space Estimation Problems : Admissibility and Minimaxity Properties - Constance van Eeden
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    Constance van Eeden
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  • Multiple Testing Procedures with Applications to Genomics - Sandrine Dudoit
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    Sandrine Dudoit and Mark J. van der Laan
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  • Vorticity, Statistical Mechanics, and Monte Carlo Simulation - Chjan Lim
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    Chjan Lim and Joseph Nebus
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  • Queueing Theory : A Linear Algebraic Approach - Lester Lipsky
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    Lester Lipsky
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  • Wave Propagation and Time Reversal in Randomly Layered Media - Jean-Pierre Fouque
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    Jean-Pierre Fouque, Josselin Garnier, G. Papanicolaou and Knut Solna
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  • An Introduction to the Theory of Point Processes : Volume II: General Theory and Structure - D. J. Daley
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    D. J. Daley and David Vere-Jones
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  • Multivariate and Mixture Distribution Rasch Models : Extensions and Applications - Matthias Davier
    Multivariate and Mixture Distribution Rasch Models
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    Matthias Davier and Claus H. Carstensen
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  • Statistical Genetics of Quantitative Traits : Linkage, Maps and QTL - Rongling Wu
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    Rongling Wu, Changxing Ma and George Casella
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  • Life Distributions : Structure of Nonparametric, Semiparametric, and Parametric Families - Albert W. Marshall
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    Albert W. Marshall and Ingram Olkin
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