mes6@njit.edu   

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Particle Filters

Partial Residual Plot

Partial Questionnaire Design

Partial likelihood

Partial Correlation

Partial Autocorrelation

Parsimony Principle

Parking lot Test

Pareto Plot

Parametric Methods

Parametric Hypothesis

Parallel Distributed Processing

Parallel Coordinate Plots

Panel Study

Paired Samples

Paired Bernoulli Data

Paired Availability Design

Overparameterized Model

Overmatching

Overfitted Models

Overdispersion

Outside Observation

Outcomes Research

Orthogonal Polynomials

Orthogonal Matrix

Orthogonal

Orthant Probability

Ornstein-Uhlenbeck Process

Ordination

Ordered Alternative Hypothesis

Oracle Property

Option-3 Scheme

Optimization Methods

Optimal Scaling

Opinion Survey

Operational Research

Open label Study

One-step Method

One-sided Test

One:m (1:m) Matching

One-bend Transformation

O.J.Simpson Paradox

Ogive

Offset

Odds

Occupancy Problems

Occam’s Window

Occam’s Razor

Obuchowski and Rockette Method

Observed-score Equating

Observation-driven Model

Observational Study

O’Brien’s two-sample Tests

O’Brien-Fleming Method

Oblique Factors

Nyquist Frequency

Numerical Integration

Number Numbness

Number Needed to Treat

Null Vector

Null Matrix

Null Distribution

Nuisance Parameter

nQuery Advisor

NORMIX

Normal Scores Test

Normal Scores

Normality

Normal Equations

Normal Approximation

Norm

Non-Response

Non-randomized Clinical Trial

Non-orthogonal Designs

Non-parametric Bayesian Models

Non-negative Garrotte

Nonmetric Scaling

Nonlinear Model

Nonlinear Mapping (NLM)

Non-Informative Censoring

Non-Gaussian Time Series

Noncentral Distributions

Nomogram

Nominal Significance Level

Noise

No free lunch Theorem

N of 1 clinical Trial

Newton–Raphson Method

Newman-Keuls Test

Network Sampling

Network

Nested Design

Nested Case-Control Study

Nearest-Neighbor Methods II

Naor’s Distribution

Nearest-Neighbor Methods I

Nadaraya-Watson Estimator

Mutually Exclusive Events

Mutation Distance

Multivariate ZIP Model (MZIP)

Multivariate Growth Data

Multivariate Data

Multivariate Counting Process

Multivariate Bartlett Test

Multitaper Spectral Estimators

Multistate Models

Multiple Time Series

Multiple Time Response Data

Multiple Imputation

Multiple-Frame Surveys

Multiple Endpoints

Multinomial Logistic Regression

Multinomial Distribution

Multinomial Coefficient

Multimodal Distribution

Multilevel Models

Multi-hit Model

Multiepisode Models

Multidimensional Unfolding

Multidimensional Scaling (MDS)

Multicollinearity

Multicentre Study

Muller-Griffiths Procedure

Mplus

Most Powerful Test

Mosaic Displays

Mortality odds Ratio

Mortality

Morgenstern’s Hypothesis

Morbidity

Mood’s Test

Monty Hallproblem

Monte Carlo Methods

Monotonic Sequence

Monotonic Regression

Mojena’s Test

Model Building

Model-based Inference

Model

Mixture Experiment

Misspecification

Missing Values

Missing Information Principle

Mis-Interpretation of P-values

Misclassification Error

Mirror-Match Bootstrapping

MINITAB

Minimum Volume Ellipsoid

Minimum Description Length (MDL)

Minimum chi-squared Estimator

Minimum Aberration Criterion

Minimization

Minimax Rule

Migration Process

Midvariance

Mid-Range

Mid P-value

Microdata

Mendelian Randomization

Meiotic Mapping

Meta Regression

Mega-Trial

MEDLINE

Medical Audit

Median Survival Time

Median Effective Dose

Mean Squares

Mean Square Ratio

Mean-Range Plot

Mean Deviation

MAZ Experiments

Mathisen’s Test

Maternal Mortality

Matching Distribution

Masking

Marginal Matching

Marginal Homogeneity

Marginal Distribution

MAREG

Mantel-Haenszel Estimator

Mann-Whitney Test

Manifest Variable

Manhattan Distance

Malthusian Parameter

Majority Rule

Main Effect

Microarrays

Method of Moments

Meta-Analysis

M-Estimators

Measures of Association

Measurement Error

Mean Vector

Mean Square Error Estimation

McCabe-Tremayne Test

Mauchly Test

Mathematica

Matching Coefficient

Matching

Matched Pairs

Martingale

Markers of Disease Progression

Marginal Totals

Marginal Structural Model (MSM)

Marginal Matching

Marginal Homogeneity

Maple

MANOVA

Mainframes

Mahalonobis-Taguchi System

Lynden-Bell Method

Lyapunov Exponent

L-statistic

Low-dose Extrapolation

Lord’s Paradox

Long-range Dependence

Long Memory Processes

Longitudinal Data

Lomb Periodogram

Logrank Test

Log-linear Models

Logarithmic Transformation

Lods

Location

Locally Weighted Regression

Local Dependence Function

Linked Micromap Plot

Linkage Analysis

Line-intersect Sampling

Linear Trend

Linear Transformation

Linearizing

Linear Estimator

Lindley’s Paradox

Lilliefors Test

Likert Scales

Likelihood Principle

Likelihood Distance Test

Likelihood

Lifting Scheme

Life Table Analysis

Life Table

Life Expectancy

Lexis Diagram

Lexicostatistics

Lexian Distributions

Lévy Process

Leverage Points

Levene Test

Lenth’s Method

Length-biased Sampling

Length-biased Data

Least Squares Estimation

Least squares cross-validation

Leaps-and-bounds Algorithm

Lead Time Bias

LDU Test

Law of Primacy

Law of Likelihood

Law of Large Numbers

Lattice Path

Lattice Distribution

Lattice Designs

Latin Square

Latent Variable

Latent Root Distributions

Latent Period

Latent Class Analysis

Lasso

Large Sample Methods

Laplace Approximation

Landmark-based Shape Analysis

Landmark Analysis

Lancaster Models

Lagrange Multipliers

Lagging Indicators

Labor Force Survey

Kurtosis

Kruskal-Wallis Test