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Oxford Statistical Science Series

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Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis

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Oxford Statistical Science Series, nr. 5

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Non-linear Time Series: A Dynamical System Approach

Oxford Statistical Science Series, nr. 6

Howell Tong

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Oxford Statistical Science Series, nr. 7

Editat de V. P. Godambe

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Oxford Statistical Science Series, nr. 8

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Oxford Statistical Science Series, nr. 11

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Oxford Statistical Science Series, nr. 12

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Practical Methods for Reliability Data Analysis

Oxford Statistical Science Series, nr. 14

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Oxford Statistical Science Series, nr. 15

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Oxford Statistical Science Series, nr. 16

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Oxford Statistical Science Series, nr. 17

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Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations

Oxford Statistical Science Series, nr. 18

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Oxford Statistical Science Series, nr. 19

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Approximating Integrals via Monte Carlo and Deterministic Methods

Oxford Statistical Science Series, nr. 20

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Oxford Statistical Science Series, nr. 21

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Oxford Statistical Science Series, nr. 22

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Oxford Statistical Science Series, nr. 23

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Oxford Statistical Science Series, nr. 29

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Oxford Statistical Science Series, nr. 37

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Oxford Statistical Science Series

Time Series: A Biostatistical Introduction

The Statistical Evaluation of Medical Tests for Classification and Prediction

In All Likelihood: Statistical Modelling and Inference Using Likelihood

Smooth Tests of Goodness of Fit

Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis

Time Series: A Biostatistical Introduction

Non-linear Time Series: A Dynamical System Approach

Estimating Functions

Optimum Experimental Designs

Random Coefficient Models

Measurement, Regression, and Calibration

Practical Methods for Reliability Data Analysis

Modelling Frequency and Count Data

Saddlepoint Approximations

Graphical Models

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations

Models for Repeated Measurements

Approximating Integrals via Monte Carlo and Deterministic Methods

Symbolic Computation for Statistical Inference

Likelihood Methods in Statistics

Principles of Multivariate Analysis

Analysis of Longitudinal Data

Nonlinear Models for Medical Statistics

Numerical Methods for Nonlinear Estimating Equations

Procrustes Problems

Statistical modelling in GLIM4

Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday

Optimum Experimental Designs, with SAS

Statistical Modelling in R

Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

An Introduction to Model-Based Survey Sampling with Applications

Papetărie, jocuri, reviste

Oxford Statistical Science Series