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Annotation of researchv10dc/vol2/index/chap5.terms, revision 1.1

1.1     ! root        1: Gaussian additive model
        !             2: Gram-Schmidt method
        !             3: Hilbert space
        !             4: Local-likelihood estimation
        !             5: Los Angeles air-pollution data
        !             6: Newton-Raphson algorithm
        !             7: Newton-Raphson iterations
        !             8: Newton-Raphson update
        !             9: ace criterion
        !            10: additive predictor
        !            11: additive proportional hazards
        !            12: additive spline model
        !            13: adjusted dependent variable regression
        !            14: asymptotic variance-stabilizing transformation
        !            15: backfitting algorithm
        !            16: backfitting solutions
        !            17: balanced additive
        !            18: bandwidth selection
        !            19: basis function
        !            20: bin smoother
        !            21: binary data
        !            22: bootstrap approximation
        !            23: boundary knots
        !            24: canonical link
        !            25: cardinal-splines
        !            26: conditional expectation
        !            27: conditional expectation operators
        !            28: constant term
        !            29: continuous response variable
        !            30: cubic smoothing splines
        !            31: cubic smoothing-spline operator matrix
        !            32: cubic splines
        !            33: cubic-spline basis functions
        !            34: delta algorithms
        !            35: dummy variable
        !            36: equivalent kernel
        !            37: equivalent kernels
        !            38: estimating equations
        !            39: evaluated-splines
        !            40: exact concurvity
        !            41: expected log-likelihood
        !            42: exponential family models
        !            43: fitted function
        !            44: fitted values
        !            45: formula language
        !            46: generalized additive models
        !            47: generalized cross-validated deviance
        !            48: generalized residual
        !            49: hazard function
        !            50: hierarchical model
        !            51: isotonic regression
        !            52: jackknifed fit
        !            53: linear effect
        !            54: linear predictor
        !            55: linear scatterplot smoother
        !            56: linear system
        !            57: local-scoring algorithm
        !            58: log-linear models
        !            59: logistic additive model
        !            60: logistic regression
        !            61: main effects
        !            62: missing data
        !            63: modelling interactions
        !            64: moving average
        !            65: multi-predictor smoothers
        !            66: multinomial likelihood
        !            67: multiple regression
        !            68: natural cubic spline
        !            69: natural parameter
        !            70: nearest-neighbour smoother
        !            71: non-DOS computers
        !            72: nonhierarchical model
        !            73: null hypothesis
        !            74: observation weights
        !            75: orthogonal polynomials
        !            76: ozone concentration data
        !            77: parametric fitting
        !            78: partial residuals
        !            79: partial-residual plots
        !            80: penalized least squares
        !            81: penalized log-likelihood
        !            82: piecewise cubic polynomials
        !            83: piecewise polynomials
        !            84: pointwise standard-error bands
        !            85: pointwise standard-error curves
        !            86: posterior covariance
        !            87: predictive ability
        !            88: prior covariance
        !            89: projection-type smoothers
        !            90: pseudo additive models
        !            91: reproducing-kernel Hilbert-spaces
        !            92: resistant additive
        !            93: ridge regression
        !            94: scale estimate
        !            95: scale parameter
        !            96: score equations
        !            97: seasonal operators
        !            98: shrinking smoothers
        !            99: slicing regression
        !           100: smoothing parameter
        !           101: smoothing parameter selection
        !           102: smoothing spline
        !           103: span selection
        !           104: specialized local-scoring algorithm
        !           105: standard-error bands
        !           106: step size optimization
        !           107: stepwise-additive methods
        !           108: surface smoother
        !           109: symmetric smoother matrices
        !           110: tensor product bases
        !           111: tidwell method
        !           112: time series
        !           113: trend component
        !           114: unweighted running-lines smoother
        !           115: weight function
        !           116: weighted additive-fit operator
        !           117: weighted cubic smoothing spline
        !           118: weighted least-squares fit
        !           119: weighted smoothers
        !           120: Cox model
        !           121: Fourier coefficients
        !           122: S functions
        !           123: adaptive techniques
        !           124: additive predictor
        !           125: adjusted dependent variable
        !           126: alternating algorithm
        !           127: binary data
        !           128: comparing models
        !           129: cross-validated deviance
        !           130: diagonal elements
        !           131: fitted value
        !           132: global confidence band
        !           133: influential points
        !           134: linear filter
        !           135: local-scoring algorithm
        !           136: locally-weighted running-lines
        !           137: logistic regression
        !           138: matched sets
        !           139: maximum likelihood
        !           140: monotone transformations
        !           141: natural splines
        !           142: nearest neighbours
        !           143: optimal rate
        !           144: ozone data
        !           145: partial residual
        !           146: penalized least-squares criterion
        !           147: pointwise standard-error bands
        !           148: posterior covariance
        !           149: posterior mean
        !           150: proportional-odds model
        !           151: resistant algorithm
        !           152: running median
        !           153: scatterplot smoother
        !           154: scatterplot smoothing
        !           155: seasonal effect
        !           156: semi-parametric model
        !           157: smoother matrix
        !           158: smoothing parameter selection
        !           159: smoothing-spline matrix
        !           160: standard-error bands
        !           161: survival data
        !           162: symmetric nearest neighbourhood
        !           163: target value
        !           164: trend smoother
        !           165: weight matrix
        !           166: weighted additive model
        !           167: asymptotic bias
        !           168: bootstrap sample
        !           169: cubic smoothing spline
        !           170: equivalent kernel
        !           171: estimating equations
        !           172: expected log-likelihood
        !           173: information matrix
        !           174: kernel smoother
        !           175: least-squares line
        !           176: local-likelihood estimation
        !           177: matched case-control data
        !           178: modified backfitting algorithm
        !           179: multiple linear regression
        !           180: nonlinear smoothers
        !           181: partial likelihood
        !           182: posterior distribution
        !           183: running-lines smoother
        !           184: seasonal smoother
        !           185: stl procedure
        !           186: surface smoothers
        !           187: time series
        !           188: Kullback-Leibler distance
        !           189: additive model
        !           190: backfitting algorithm
        !           191: concurvity space
        !           192: equivalent kernel
        !           193: local-scoring algorithm
        !           194: locally-weighted running-lines
        !           195: seasonal component
        !           196: time series
        !           197: transfer function
        !           198: Bayesian model
        !           199: conditional likelihood
        !           200: cubic smoothing spline
        !           201: generalized additive model
        !           202: model selection
        !           203: orthogonal projection
        !           204: smoother matrix
        !           205: smoothing parameter
        !           206: unique solution
        !           207: backfitting converges
        !           208: interior knots
        !           209: kernel smoothers
        !           210: maximal correlation
        !           211: canonical correlation
        !           212: running mean
        !           213: smoothing splines
        !           214: adjusted dependent variable
        !           215: exponential family
        !           216: generalized linear model
        !           217: proportional-hazards model
        !           218: response transformation
        !           219: optimal transformations
        !           220: link function
        !           221: starting functions
        !           222: backfitting algorithm
        !           223: ace algorithm
        !           224: smoothing parameter
        !           225: backfitting algorithm
        !           226: estimating equations
        !           227: {\em ACE and Correspondence analysis}
        !           228: {\em ACE and canonical correlation}
        !           229: {\em Atmospheric ozone concentration}
        !           230: {\em Automatic backfitting}
        !           231: {\em Average Derivative Estimation}
        !           232: {\em CART} software
        !           233: {\em Computation of the \GCV\ statistic}
        !           234: {\em Delta method}
        !           235: {\em Diabetes data}
        !           236: {\em Efficient kernel smoothing ^{Silverman (1982)},
        !           237: {\em Generalized cross-validation (GCV)}
        !           238: {\em Hanning}
        !           239: {\em Kriging}
        !           240: {\em Kyphosis data}
        !           241: {\em M-estimate} approaches
        !           242: {\em M-estimation for regression}
        !           243: {\em M-estimation}
        !           244: {\em Mallow's $C_p$}
        !           245: {\em Semi-parametric regression ^^{Green, P.J.}^^{Jennison,
        !           246: {\em Slicing regression}
        !           247: {\em TURBO} paper
        !           248: {\em Twicing}
        !           249: {\em Universal Kriging}
        !           250: {\em Updating formula for running-line smooth}
        !           251: {\em Warm cardioplegia data}
        !           252: {\em additive model}
        !           253: {\em additive predictor}
        !           254: {\em additive} predictor
        !           255: {\em adjusted dependent variable regression}
        !           256: {\em asymptotic variance stabilizing transformation}
        !           257: {\em backfitting algorithm}
        !           258: {\em backfitting}
        !           259: {\em calendar} effects
        !           260: {\em canonical correlation}
        !           261: {\em canonical link}
        !           262: {\em centered} smoother
        !           263: {\em collinearity}
        !           264: {\em complimentary log-log}
        !           265: {\em concurvity space}
        !           266: {\em concurvity}
        !           267: {\em convolution}
        !           268: {\em curse of dimensionality}
        !           269: {\em degrees of freedom}
        !           270: {\em delta algorithm}
        !           271: {\em deviance}
        !           272: {\em digital filter})
        !           273: {\em effective number of parameters}
        !           274: {\em effective} dimension
        !           275: {\em equivalent degrees of freedom}
        !           276: {\em equivalent kernel}
        !           277: {\em estimating} equations
        !           278: {\em expected} log-likelihood
        !           279: {\em frequency response functions}
        !           280: {\em fundamental tradeoff between bias and variance}
        !           281: {\em generalized additive models}
        !           282: {\em generalized additive model}
        !           283: {\em generalized linear models}
        !           284: {\em hat} matrix
        !           285: {\em hierarchical}
        !           286: {\em impulse response function}
        !           287: {\em interaction}
        !           288: {\em leverage points}
        !           289: {\em linear predictor}
        !           290: {\em link function}
        !           291: {\em local scoring}
        !           292: {\em local-likelihood} estimation
        !           293: {\em local-scoring procedure}
        !           294: {\em loess}
        !           295: {\em loess})
        !           296: {\em logit}
        !           297: {\em low pass}
        !           298: {\em matched sets}
        !           299: {\em maximal correlation}
        !           300: {\em missing at random}
        !           301: {\em nonparametric} nature
        !           302: {\em odds-ratio}
        !           303: {\em optimal transformations for correlation}
        !           304: {\em optimal transformations for regression}
        !           305: {\em optimal transformations}
        !           306: {\em partial likelihood}
        !           307: {\em powering up}
        !           308: {\em probit}
        !           309: {\em profile log-likelihood}
        !           310: {\em pseudo additive models}
        !           311: {\em pseudo smoothers}
        !           312: {\em regression smoothers}
        !           313: {\em representers of evaluation}
        !           314: {\em resubstitution prediction error}
        !           315: {\em ridge regression}
        !           316: {\em scatterplot smoother}
        !           317: {\em seasonal} smoother
        !           318: {\em semi-parametric} model
        !           319: {\em shrinking}
        !           320: {\em shrinking} smoothers
        !           321: {\em simple Kriging}
        !           322: {\em smoother matrix}
        !           323: {\em smoothing parameter}
        !           324: {\em splitting}
        !           325: {\em state-space} approach
        !           326: {\em supersmoother}
        !           327: {\em tensor product}
        !           328: {\em thin-plate spline}
        !           329: {\em ties}
        !           330: {\em trading day}
        !           331: {\em transfer function}
        !           332: {\em transformation}
        !           333: {\em trend} smoother
        !           334: {\em tri-cube} weight
        !           335: {\em twicing}
        !           336: {\em{BOX-TIDWELL}}}
        !           337: {\em{BRUTO}}}
        !           338: {\em{STEP-ADDITIVE}}}
        !           339: {\em{TURBO}}}

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