Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

Online ISBN: 9780470057339

DOI: 10.1002/9780470057339

Browse by Topic

  1. Chemometrics
  2. Ecological Statistics
  3. Environmental Health
  4. Environmental Policy and Regulation
  5. Environmental Technology and Engineering
  6. Extremes and Environmental Risk
  7. General
  8. Hydrological Processes
  9. Natural Resources and Agriculture
  10. Physical Processes
  11. Spatial and Temporal Modeling and Analysis
  12. Statistical and Numerical Computing
    1. Analysis of Variance
    2. Artificial Intelligence
    3. Automatic Differentiation
    4. Bayesian Computation
    5. Bayesian Graphical Models
    6. Bayesian Methods and Modeling
    7. Binary Data
    8. You have free access to this content
      Bootstrap Resampling
    9. Boxplot
    10. Boxplot, Bivariate
    11. Branch-and-Bound Algorithm
    12. Categorical Data
    13. Classification
    14. Clustering
    15. Collinearity
    16. Computer Intensive Sampling Methods in Ecology
    17. Computer Modeling
    18. Conditional Simulation
    19. Constrained Optimization
    20. Control Theory
    21. Covariance Matrix Estimation (Estimated Parameters)
    22. Cross-Validation
    23. Data Mining
    24. Decision Support Systems, Environmental
    25. Delta Method
    26. Dynamic Programming
    27. Effect Size
    28. EM Algorithm
    29. Empirical Bayes Methods
    30. Environmental Information Systems
    31. Environmetrics, Overview
    32. Environmetrics, the Journal of the International Environmetric Society
    33. EnvStats, an R Package for Environmental Statistics
    34. Exact Randomization Technique
    35. Fractal Dimensions
    36. Fuzzy Regression
    37. Gamma Function
    38. Generalized Linear Mixed Models
    39. Generalized Regression Estimators
    40. Genetic Algorithms
    41. Geometric Mean
    42. Gibbs Sampling
    43. Graphical Displays
    44. Image Analysis
    45. Informatics, Environmental
    46. Iteratively Reweighted Least Squares
    47. Jackknife Resampling
    48. Joint Action Models
    49. Kernel Density Estimation
    50. Kernel Estimator by Fourier Transform
    51. Least Squares
    52. Least Squares, General
    53. Lognormal Distribution
    54. Markov Chain Monte Carlo (MCMC)
    55. Maximum Entropy Sampling
    56. Meta-Analysis
    57. Multinomial Distribution
    58. Multiple Comparisons
    59. Multiple Endpoints
    60. Multivariate Adaptive Regression Splines
    61. Multivariate Data Visualization
    62. Nearest Neighbor Methods
    63. Negative Binomial Distribution
    64. Neural Network
    65. Nonlinear Regression
    66. Nonparametric Curve Estimator
    67. Nonparametric Regression Model
    68. Numerical Integration
    69. Optimization
    70. Ordinal Response
    71. Parallel Computing: Statistical and Environmetric Uses
    72. Pattern Recognition
    73. Permutation Tests
    74. Piecewise linear model
    75. Proportional Hazards Model
    76. Quantal Response Data
    77. R and S
    78. Random Number Generators
    79. Randomized Branch Sampling
    80. Recursive Residuals
    81. Reduced-Rank Regression
    82. Regression Diagnostics
    83. Regression Trees
    84. Regularization Methods
    85. Repeated Measures
    86. Resampling Methods
    87. Residuals
    88. Residuals, Studentized
    89. Robust Quantile Regression
    90. Robust Regression
    91. S-PLUS
    92. S+Spatialstats
    93. SAS
    94. Seemingly Unrelated Regressions
    95. Sequential Sampling
    96. Shrinkage Regression
    97. Sign Tests
    98. Simulated Annealing
    99. Simulation and Monte Carlo Methods
    100. Simulation-Optimization Modeling
    101. Smoothing
    102. Smoothing in environmental epidemiology
    103. Splines in Nonparametric Regression
    104. Standard Error
    105. Statistical Computing in Environmental Science
    106. Statistical Graphics
    107. Subset Selection
    108. Systematics, Numerical Methods
    109. Time Series, Periodic
    110. Tree-Structured Methods
    111. Trimming and Winsorization
    112. Variable Selection via Regularization
    113. Wavelets
    114. z-Statistic
    115. Zero-Inflated Data
  13. Statistical Theory and Methods
  14. Stochastic Modeling and Environmental Change

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