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  • Effective Experimentation : For Scientists and Technologists - Richard Boddy
    Effective Experimentation
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    Richard Boddy and Gordon Smith
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  • Large-Scale Inverse Problems and Quantification of Uncertainty : Wiley Series in Computational Statistics : Book 712 - Lorenz Biegler
    Large-Scale Inverse Problems and Quantification of Uncertainty
    Wiley Series in Computational Statistics : Book...
    Lorenz Biegler, Youssef Marzouk, George Biros and Omar Ghattas
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  • Developing, Validating and Using Internal Ratings : Methodologies and Case Studies - Giacomo De Laurentis
    Developing, Validating and Using Internal Ratings
    Methodologies and Case Studies
    Giacomo De Laurentis, Renato Maino and Luca Molteni
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  • Bayesian Networks : An Introduction - Timo Koski
    Bayesian Networks
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    Timo Koski and John Noble
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  • Understanding Biplots - John C. Gower
    Understanding Biplots
    John C. Gower, Sugnet Gardner Lubbe and Niel J. Le Roux
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  • Latent Variable Models and Factor Analysis : A Unified Approach - David J. Bartholomew
    Latent Variable Models and Factor Analysis
    A Unified Approach
    David J. Bartholomew, Martin Knott and Irini Moustaki
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  • Six Sigma Quality Improvement with Minitab - G. Robin Henderson
    Six Sigma Quality Improvement with Minitab
    G. Robin Henderson
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  • Compositional Data Analysis : Theory and Applications - Vera Pawlowsky-Glahn
    Compositional Data Analysis
    Theory and Applications
    Vera Pawlowsky-Glahn and Antonella Buccianti
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  • Maximum Likelihood Estimation and Inference : With Examples in R, SAS and ADMB - Russell B. Millar
    Maximum Likelihood Estimation and Inference
    With Examples in R, SAS and ADMB
    Russell B. Millar
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  • Option Pricing and Estimation of Financial Models with R - Stefano M. Iacus
    Option Pricing and Estimation of Financial Models with R
    Stefano M. Iacus
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  • Multi-armed Bandit Allocation Indices - John Gittins
    Multi-armed Bandit Allocation Indices
    John Gittins, Kevin Glazebrook and Richard Weber
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  • How to be a Quantitative Ecologist : The 'A to R' of Green Mathematics and Statistics - Jason Matthiopoulos
    How to be a Quantitative Ecologist
    The 'A to R' of Green Mathematics and Statistics
    Jason Matthiopoulos
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  • Statistical Methods for Trend Detection and Analysis in the Environmental Sciences - Richard Chandler
    Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
    Richard Chandler and Marian Scott
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  • Dirichlet and Related Distributions : Theory, Methods and Applications - Kai Wang Ng
    Dirichlet and Related Distributions
    Theory, Methods and Applications
    Kai Wang Ng, Guo-Liang Tian and Man-Lai Tang
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  • Mixtures : Estimation and Applications - Kerrie L. Mengersen
    Mixtures
    Estimation and Applications
    Kerrie L. Mengersen, Christian Robert and Mike Titterington
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  • Insect Sampling in Forest Ecosystems - Simon R. Leather
    Insect Sampling in Forest Ecosystems
    Simon R. Leather
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  • Understand Statistics : Teach Yourself - Alan Graham
    Understand Statistics
    Teach Yourself
    Alan Graham
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  • Statistics : Bullet Guides - Alan Graham
    Statistics
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    Alan Graham
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  • A Guide to Teaching Statistics: Innovations and Best Practices : Innovations and Best Practices - Michael R. Hulsizer
    A Guide to Teaching Statistics: Innovations and Best Practices
    Innovations and Best Practices
    Michael R. Hulsizer and Linda M. Woolf
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  • Choosing and Using Statistics : A Biologist's Guide - Calvin Dytham
    Choosing and Using Statistics
    A Biologist's Guide
    Calvin Dytham
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  • A Probability Metrics Approach to Financial Risk Measures - Svetlozar T. Rachev
    A Probability Metrics Approach to Financial Risk Measures
    Svetlozar T. Rachev, Stoyan V. Stoyanov and Frank J. Fabozzi
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  • Beginning Spatial with SQL Server 2008 - Alastair Aitchison
    Beginning Spatial with SQL Server 2008
    Alastair Aitchison
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  • Social Computing and Behavioral Modeling - Huan Liu
    Social Computing and Behavioral Modeling
    Huan Liu, ?John Salerno and ?Michael J. Young
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  • Risk and Reward : The Science of Casino Blackjack - N. Richard Werthamer
    Risk and Reward
    The Science of Casino Blackjack
    N. Richard Werthamer
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  • Statistics for Archaeologists : A Common Sense Approach - Robert D. Drennan
    Statistics for Archaeologists
    A Common Sense Approach
    Robert D. Drennan
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  • Data Mining and Multi-agent Integration - Longbing Cao
    Data Mining and Multi-agent Integration
    Longbing Cao
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  • Data Mashups in R : A Case Study in Real-World Data Analysis - Jeremy Leipzig
    Data Mashups in R
    A Case Study in Real-World Data Analysis
    Jeremy Leipzig and Xiao-Yi Li
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  • SAS for Linear Models - Ph.D. Ramon C. Littell
    SAS for Linear Models
    Ph.D. Ramon C. Littell
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  • Data Preparation for Analytics Using SAS : Using Sas - Gerhard Svolba
    Data Preparation for Analytics Using SAS
    Using Sas
    Gerhard Svolba
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  • Survival Analysis Using SAS : A Practical Guide, Second Edition - Paul D. Allison
    Survival Analysis Using SAS
    A Practical Guide, Second Edition
    Paul D. Allison
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  • SAS Functions by Example, Second Edition : Second Edition - EdD Ron Cody
    SAS Functions by Example, Second Edition
    Second Edition
    EdD Ron Cody
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  • SAS Statistics by Example - Ron Cody
    SAS Statistics by Example
    Ron Cody
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  • Randomized Algorithms for Analysis and Control of Uncertain Systems - Roberto Tempo
    Randomized Algorithms for Analysis and Control of Uncertain Systems
    Roberto Tempo, Giuseppe Calafiore and Fabrizio Dabbene
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  • Discrete-Time Markov Jump Linear Systems - O. L. V. Costa
    Discrete-Time Markov Jump Linear Systems
    O. L. V. Costa, M. D. Fragoso and R. P. Marques
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  • Probabilistic Conditional Independence Structures - Milan Studeny
    Probabilistic Conditional Independence Structures
    Milan Studeny
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  • Probabilistic and Randomized Methods for Design under Uncertainty - Giuseppe Calafiore
    Probabilistic and Randomized Methods for Design under Uncertainty
    Giuseppe Calafiore and ?Fabrizio Dabbene
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  • Hebbian Learning and Negative Feedback Networks - Colin Fyfe
    Hebbian Learning and Negative Feedback Networks
    Colin Fyfe
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  • Eigenvalues, Inequalities, and Ergodic Theory - Mu-Fa Chen
    Eigenvalues, Inequalities, and Ergodic Theory
    Mu-Fa Chen
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  • Switched Linear Systems : Control and Design - Zhendong Sun
    Switched Linear Systems
    Control and Design
    Zhendong Sun
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  • Theory of Random Sets - Ilya Molchanov
    Theory of Random Sets
    Ilya Molchanov
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  • Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications - Ajoy K. Palit
    Computational Intelligence in Time Series Forecasting
    Theory and Engineering Applications
    Ajoy K. Palit and Dobrivoje Popovic
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  • Noise-Induced Phenomena in Slow-Fast Dynamical Systems : A Sample-Paths Approach - Nils Berglund
    Noise-Induced Phenomena in Slow-Fast Dynamical Systems
    A Sample-Paths Approach
    Nils Berglund and Barbara Gentz
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  • Missing Data and Small-Area Estimation : Modern Analytical Equipment for the Survey Statistician - Nicholas T. Longford
    Missing Data and Small-Area Estimation
    Modern Analytical Equipment for the Survey Stat...
    Nicholas T. Longford
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  • Optimized Bayesian Dynamic Advising : Theory and Algorithms - Miroslav Karny
    Optimized Bayesian Dynamic Advising
    Theory and Algorithms
    Miroslav Karny
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  • Stochastic Calculus for Fractional Brownian Motion and Applications - Francesca Biagini
    Stochastic Calculus for Fractional Brownian Motion and Applications
    Francesca Biagini, Yaozhong Hu, Bernt Øksendal and Tusheng Zhang
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  • Stochastic Control in Insurance - Hanspeter Schmidli
    Stochastic Control in Insurance
    Hanspeter Schmidli
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  • Stochastic Network Calculus - Yuming Jiang
    Stochastic Network Calculus
    Yuming Jiang and Yong Liu
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  • Identification of Continuous-time Models from Sampled Data - Hugues Garnier
    Identification of Continuous-time Models from Sampled Data
    Hugues Garnier and Liuping Wang
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  • Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics - Dan A. Simovici
    Mathematical Tools for Data Mining
    Set Theory, Partial Orders, Combinatorics
    Dan A. Simovici and Chaabane Djeraba
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  • Markov Random Field Modeling in Image Analysis - Stan Z. Li
    Markov Random Field Modeling in Image Analysis
    Stan Z. Li
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  • Knowledge Processing with Interval and Soft Computing - Author
    Knowledge Processing with Interval and Soft Computing
    Author
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  • Innovating in Product/Process Development : Gaining Pace in New Product Development - Mikel Sorli
    Innovating in Product/Process Development
    Gaining Pace in New Product Development
    Mikel Sorli and Dragan Stokic
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  • Optimal Observation for Cyber-physical Systems : A Fisher-information-matrix-based Approach - Zhen Song
    Optimal Observation for Cyber-physical Systems
    A Fisher-information-matrix-based Approach
    Zhen Song, YangQuan Chen, Chellury R. Sastry and Nazif C. Tas
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  • Basic Principles and Applications of Probability Theory - Valeriy Skorokhod
    Basic Principles and Applications of Probability Theory
    Valeriy Skorokhod
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  • Quantum Statistics of Nonideal Plasmas - Dietrich Kremp
    Quantum Statistics of Nonideal Plasmas
    Dietrich Kremp, Manfred Schlanges and Wolf-Dietrich Kraeft
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  • Geostatistics for Environmental Applications : Proceedings of the Fifth European Conference on Geostatistics for Environmental Applications - Philippe Renard
    Geostatistics for Environmental Applications
    Proceedings of the Fifth European Conference on...
    Philippe Renard, ?Hélène DemougeotRenard and ?Roland Froidevaux
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  • Domain Decomposition Methods - Algorithms and Theory : Algorithms and Theory - Andrea Toselli
    Domain Decomposition Methods - Algorithms and Theory
    Algorithms and Theory
    Andrea Toselli and Olof Widlund
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  • Dynamics Beyond Uniform Hyperbolicity : A Global Geometric and Probabilistic Perspective - Christian Bonatti
    Dynamics Beyond Uniform Hyperbolicity
    A Global Geometric and Probabilistic Perspective
    Christian Bonatti, Lorenzo J. Díaz and Marcelo Viana
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  • Stochastic Optimization Methods - Kurt Marti
    Stochastic Optimization Methods
    Kurt Marti
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  • Generalized Bounds for Convex Multistage Stochastic Programs - Daniel Kuhn
    Generalized Bounds for Convex Multistage Stochastic Programs
    Daniel Kuhn
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  • Signal Extraction : Efficient Estimation, 'Unit Root'-Tests and Early Detection of Turning Points - Marc Wildi
    Signal Extraction
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    Marc Wildi
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  • Interacting Particle Systems - Thomas M. Liggett
    Interacting Particle Systems
    Thomas M. Liggett
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  • Innovations in Classification, Data Science, and Information Systems : Proceedings of the 27th Annual Conference of the Gesellschaft fur Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 - Daniel Baier
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    Proceedings of the 27th Annual Conference of th...
    Daniel Baier and ?KlausDieter Wernecke
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  • A Theory of Distributed Objects : Asynchrony - Mobility - Groups - Components - Denis Caromel
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    Asynchrony - Mobility - Groups - Components
    Denis Caromel and Ludovic Henrio
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  • Extreme Financial Risks : From Dependence to Risk Management - Yannick Malevergne
    Extreme Financial Risks
    From Dependence to Risk Management
    Yannick Malevergne and Didier Sornette
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  • Measurement Uncertainties in Science and Technology - Michael Grabe
    Measurement Uncertainties in Science and Technology
    Michael Grabe
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  • New Developments in Classification and Data Analysis : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003 - Maurizio Vichi
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    Proceedings of the Meeting of the Classificatio...
    Maurizio Vichi, ?Paola Monari and ?Stefania Mignani
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  • Statistical Tools for Finance and Insurance - Pavel Cizek
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    Pavel Cizek, ?Wolfgang Karl Härdle and ?Rafa? Weron
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  • The Generic Chaining : Upper and Lower Bounds of Stochastic Processes - Michel Talagrand
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    Michel Talagrand
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  • Stochastic Numerics for the Boltzmann Equation - Sergej Rjasanow
    Stochastic Numerics for the Boltzmann Equation
    Sergej Rjasanow and Wolfgang Wagner
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  • Traffic and Granular Flow ' 03 - Serge P. Hoogendoorn
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    Serge P. Hoogendoorn
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  • Data Analysis and Decision Support - Daniel Baier
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    Daniel Baier, ?Reinhold Decker and ?Lars SchmidtThieme
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  • Vector Optimization : Set-valued and Variational Analysis - Guang-ya Chen
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    Guang-ya Chen, Xuexiang Huang and Xiaogi Yang
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  • Real Options Valuation : The Importance of Interest Rate Modelling in Theory and Practice - Marcus Schulmerich
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    Marcus Schulmerich
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  • Data Mining with Computational Intelligence - Lipo Wang
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    Lipo Wang and Xiuju Fu
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  • Topics in Dynamic Model Analysis : Advanced Matrix Methods and Unit-Root Econometrics Representation Theorems - Mario Faliva
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    Mario Faliva and Maria Grazia Zoia
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  • Classical Methods of Statistics : With Applications in Fusion-Oriented Plasma Physics - Otto J. W. F. Kardaun
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    Otto J. W. F. Kardaun
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  • Mathematical Modelling for Sustainable Development - Marion Hersh
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    Marion Hersh
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  • The Mathematics of Arbitrage - Freddy Delbaen
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    Freddy Delbaen and Walter Schachermayer
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  • From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Magdeburg, March 9-11, 2005 - Myra Spiliopoulou
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    Myra Spiliopoulou, ?Rudolf Kruse and ?Christian Borgelt
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  • The Local Langlands Conjecture for GL(2) - Colin J. Bushnell
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    Colin J. Bushnell and Guy Henniart
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  • Data Analysis Using the Method of Least Squares : Extracting the Most Information from Experiments - John Wolberg
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  • Spatial Econometrics : Statistical Foundations and Applications to Regional Convergence - Giuseppe Arbia
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