史上最全 申请美国统计学专业参考教材

时间:2014-11-07 17:32:25  / 编辑:fairy

  同学们在做美国统计学留学申请的时候,一些专业性的统计学参考教材,会帮助你很多。下面,一诺留学小编就为大家分享一位牛人整理的史上最全的统计学参考教材,仅供大家参考学习。

  牛人整理的史上最全统计学参考教材

  1. AdvancedCalculus with Applications in Statistics

  2.A History of Probability and Statistics and Their Applications before 1750

  3.Markov Decision Processes: Discrete Stochastic Dynamic Programming

  4.Probability and Statistical Inference

  5.Continuous Univariate Distributions, Vol. 1

  6.Continuous Univariate Distributions, Vol. 2

  7.The Theory of Measures and Integration

  8.Robust Statistics: Theory and Methods

  9.Finite Mixture Models

  10.Generalized, Linear, and Mixed Models

  11.Statistics of Extremes: Theory and Applications

  12.Modes of Parametric Statistical Inference

  13.Univariate Discrete Distributions

  14.Contemporary Bayesian Econometrics and Statistics

  15.Approximation Theorems of Mathematical Statistics

  16.Image Processing and Jump Regression Analysis

  17.Operational Risk : Modeling Analytics

  18.Design and Analysis of Experiments, Introduction to Experimental Design

  19.Introductory Biostatistics for the Health Sciences: Modern ApplicationsIncluding Bootstrap

  20.Linear Models in Statistics

  21.Statistics for Research

  22.Applied Logistic Regression

  23.Operational Subjective Statistical Methods: A Mathematical, Philosophical,and Historical Introduction

  24.Probability and Measure, 2nd Edition

  25.Theory of Preliminary Test and Stein-Type Estimation with Applications

  26.The EM Algorithm and Extensions

  27.The Theory of Response-Adaptive Randomization in Clinical Trials

  28.Models for Probability and Statistical Inference: Theory and Applications

  29.Applied Life Data Analysis

  30.Structural Equation Modelling: A Bayesian Approach

  31.Bootstrap Methods: A Guide for Practitioners and Researchers

  32.Nonparametric Analysis of Univariate Heavy-Tailed Data: Research andPractice

  33.Applied Linear Regression, 3rd edition

  34.Theory of Probability: A Critical Introductory Treatment

  35.Financial Derivatives in Theory and Practice

  36.Quantitative Methods in Population Health: Extensions of Ordinary Regression

  37.Statistical Methods for Survival Data Analysis

  38.Applied Bayesian Modelling

  39.Spatial Statistics, 2004-08

  40.Approximate Dynamic Programming: Solving the Curses of Dimensionality

  41.Variance Components

  42.Time Series: Applications to Finance

  43.Generalized Least Squares

  44.Statistical Analysis With Missing Data

  45.Long-Memory Time Series: Theory and Methods

  46.Statistical Models and Methods for Lifetime Data

  47.Uncertainty Analysis with High Dimensional Dependence Modelling

  48.Simulation and the Monte Carlo Method

  49.A Matrix Handbook for Statisticians

  50.Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

  51.Precedence-Type Tests and Applications

  52.Statistical Meta-Analysis with Applications

  53.Management of Data in Clinical Trials

  54.Periodically Correlated Random Sequences: Spectral Theory and Practice

  55.Design and Analysis of Experiments, Advanced Experimental Design

  56.Methods and Applications of Linear Models : Regression and the Analysis ofVariance

  57.Combinatorial Methods in Discrete Distributions

  58.Nonparametric Regression Methods for Longitudinal Data Analysis:Mixed-Effects Modeling Approaches

  59.Response Surfaces, Mixtures, and Ridge Analyses

  60.Variations on Split Plot and Split Block Experiment Designs

  61.Recent Advances in Quantitative Methods in Cancerand Human Health Risk Assessment

  62.The Construction of Optimal Stated Choice Experiments: Theory and Methods

  63.Nonparametric Density Estimation: The L1 View

  64.Applied MANOVA and Discriminant Analysis

  65.Survey Errors and Survey Costs

  66.Statistical Advances in the Biomedical Sciences: Clinical Trials,Epidemiology, Survival Analysis, and Bioinformatics

  67.Latent Curve Models: A Structural Equation Perspective

  68.Regression Diagnostics: Identifying Influential Data and Sources ofCollinearity

  69.Reliability and Risk: A Bayesian Perspective

  70.Environmental Statistics

  71.Bayes Linear Statistics, Theory & Methods

  72.Introductory Stochastic Analysis for Finance and Insurance

  73.Bayesian Models for Categorical Data

  74.Bayesian Statistical Modelling

  75.Weibull Models

  76.Analysis of Financial Time Series

  77.Linear Model Theory: Univariate, Multivariate, and Mixed Models

  78.An Introduction to Categorical Data Analysis

  79.Bayesian Statistics and Marketing

  80.Statistical Shape Analysis

  81.Nonparametric Statistics with Applications to Science and Engineering

  82.Longitudinal Data Analysis

  83.Regression Models for Time Series Analysis

  84.Introduction to Nonparametric Regression

  85.Statistical Modeling by Wavelets

  86.Case Studies in Reliability and Maintenance

  87.The Geometry of Random Fields

  88.Biostatistics : A Methodology For the Health Sciences

  89.Planning, Construction, and Statistical Analysis of Comparative Experiments

  90.Statistical Size Distributions in Economics and Actuarial Sciences

  91.Modern Experimental Design

  92.Comparative Statistical Inference

  93.Methods of Multivariate Analysis

  94.Robust Statistics

  95.Order Statistics

  96.Fourier Analysis of Time Series : An Introduction

  97.Spatial Statistics 1981-04

  98.Clinical Trials : A Methodologic Perspective

  99.Numerical Issues in Statistical Computing for the Social Scientist

  100.Nonlinear Regression

  101.Preparing for the Worst : Incorporating Downside Risk in Stock MarketInvestments

  102.Nonlinear Regression Analysis and Its Applications

  103.Mixed Models : Theory and Applications

  104.Discrete Distributions : Applications in the Health Sciences

  105.Design and Analysis of Clinical Trials : Concepts and Methodologies

  106.Applied Bayesian Modeling and Causal Inference from Incomplete-DataPerspectives

  107.Flowgraph Models for Multistate Time-?–to-Event Data

  108.Randomization in Clinical Trials: Theory and Practice

  109.Regression With Social Data: Modeling Continuous and Limited ResponseVariables

  110.Regression Analysis by Example

  111.Categorical Data Analysis

  112.Statistical Methods for Reliability Data

  113.Elements of Stochastic Processes Wit

  114.Random Graphs for Statistical Pattern Recognition

  115.Construction and Assessment of Classification Rules

  116.The Statistical Analysis of Failure Time Data

  117.Statistical Analysis of Finite Mixture Distributions

  118.Modern Applied U-Statistics

  119.Applied Multiway Data Analysis

  一诺留学专家提醒大家,在申请美国统计学留学的时候,大家最好能体现出自己优秀的数学能力,并且有比较好的实习实践经历,这样的申请胜算会比较大一些。

  以上内容就是牛人整理的史上最全的美国统计学参考教材,希望对大家有所帮助。如需了解更多美国留学的相关信息,欢迎拨打一诺留学的免费咨询热线400-003-6508或者010-62680991进行咨询,或者点击一诺留学官方网站http://www.yinuoedu.net/页面的“在线咨询”与一诺留学专家直接对话。

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加入一诺前,曾供职于太傻咨询北京总部。在太傻期间,曾负责制作托福、雅思评估测试题,并参加托福、雅思、GRE、GMAT的面授课件制作。现任一诺托福、雅思、GRE、GMAT咨询师。从业多年来,为大量客户量身制作个性化备考方案并进行GRE、GMAT各个单项的辅导。善于发现考生的复习瓶颈和薄弱环节并着重指导考生进行突破,从而更高效地提升分数。

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