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APPROACHES TO INVERSE LINEAR REGRESSIONAVENHAUS R; HOEPFINGER E; JEWELL WS et al.1980; KERNFORSCHUNGSZENT. KARLSR.; ISSN 0303-4003; DEU; DA. 1980; NO 3007; 29 P.; ABS. GER; BIBL. 2 P.Serial Issue

FUNDAMENTALS OF MULTIVARIATE ANALYSIS. LINEAR REGRESSIONKRAMER CY.1972; J. QUAL. TECHNOL.; U.S.A.; DA. 1972; VOL. 4; NO 4; PP. 177-180; BIBL. 5 REF.Serial Issue

UEBER DIE EINFACHE LINEARE REGRESSION (BEI POSITIVER EINFLUSSGROESSE) MIT EINER NEBENBEDINGUNG = SUR LA REGRESSION SIMPLE LINEAIRE (PAR VARIABLES D'INFLUENCE POSITIVES) AVEC UNE CONDITION DE VOISINAGESTANGE K.1972; STATIST. NEERL.; PAYS-BAS; DA. 1972; VOL. 26; NO 3; PP. 43-54Serial Issue

DISTRIBUTION-FREE TESTS FOR PARALLELISM AND CONCURRENCE IN TWO-SAMPLE REGRESSION PROBLEMMADHAVA RAO RS; GORE AP.1981; J. STAT. PLANN. INFERENCE; ISSN 0378-3758; NLD; DA. 1981; VOL. 5; NO 3; PP. 281-286; BIBL. 6 REF.Article

ESTIMATION OF RANDOM COEFFICIENT REGRESSION MODELSLON MU LIU.1981; J. STAT. COMPUT. SIMUL.; ISSN 0094-9655; USA; DA. 1981; VOL. 13; NO 1; PP. 27-39; BIBL. 10 REF.Article

ON THE ANALYSIS OF STRAIGHT LINE DATA IN PHARMACOLOGY AND BIOCHEMISTRYBUSBY RC; TALLARIDA RJ.1981; J. THEOR. BIOL.; ISSN 0022-5193; GBR; DA. 1981; VOL. 93; NO 4; PP. 867-879; BIBL. 7 REF.Article

MEHRFACHE LINEARE REGRESSION = REGRESSION LINEAIRE MULTIPLEWOLFENSTETTER KD.1980; FERNMELDE-ING.; ISSN 0015-010X; DEU; DA. 1980; VOL. 34; NO 9; PP. 1-38; ABS. ENG/FRE; BIBL. 19 REF.Serial Issue

THE STOCHASTIC DISTURBANCE SPECIFICATION AND ITS IMPLICATIONS FOR LOG-LINEAR REGRESSIONHAWORTH JM; VINCENT PJ.1979; ENVIRONMENT AND PLANNG A; GBR; DA. 1979; VOL. 11; NO 7; PP. 781-790; BIBL. 18 REF.Article

RANK TESTS OF SUB-HYPOTHESES IN THE GENERAL LINEAR REGRESSIONADICHIE JN.1978; ANN. STATIST.; USA; DA. 1978; VOL. 6; NO 5; PP. 1012-1026; BIBL. 13 REF.Article

CENTERING AND SCALING IN RIDGE REGRESSION.BROWN PJ.1977; TECHNOMETRICS; U.S.A.; DA. 1977; VOL. 19; NO 1; PP. 35-36; BIBL. 8 REF.Article

ON A CONTRIBUTION OF CAUCHY TO LINEAR REGRESSION THEORY.SENETA E.1976; ANN. SOC. SCI. BRUXELLES; BELG.; DA. 1976; VOL. 90; NO 3; PP. 229-235; BIBL. 8 REF.Article

NOUVELLE METHODE DE CONSTRUCTION DES ESTIMATEURS DES COEFFICIENTS DE REGRESSION LINEAIREKUK YU V; PETUNIN YU I.1976; UKRAIN. MAT. ZH.; S.S.S.R.; DA. 1976; VOL. 28; NO 2; PP. 237-243; BIBL. 5 REF.Article

MISSING VARIABLES IN BAYESIAN REGRESSION II.PRESS SJ; SCOTT AJ.1975; RAND- P-5446; U.S.A.; DA. 1975; PP. (13P.); BIBL. 9 REF.Report

REGRESSION ANALYSIS WITH LINEAR CONSTRAINTS.STEWART J.1975; COMPUTER APPL.; G.B.; DA. 1975; VOL. 2; NO 1-2; PP. 201-216; BIBL. 7 REF.Article

SEMI-ORDERINGS BETWEEN DISTRIBUTION FUNCTIONS AND THEIR APPLICATION TO ROBUSTNESS OF PARAMETER ESTIMATORS.NAETHER W.1975; MATH. OPER.-FORSCH. STATIST.; DTSCH.; DA. 1975; VOL. 6; NO 2; PP. 179-188; ABS. ALLEM. RUSSE; BIBL. 9 REF.Article

A MONTE CARLO EVALUATION OF SOME RIDGE-TYPE ESTIMATORS.MCDONALD GC; GALARNEAU DI.1975; J. AMER. STATIST. ASS.; U.S.A.; DA. 1975; VOL. 70; NO 350; PP. 407-416; BIBL. 10 REF.Article

THE MULTIPLE LINEAR REGRESSION APPROACH TO "CHI SQUARE" HYPOTHESES.MCNEIL K.1974; J. EXPER. EDUC.; U.S.A.; DA. 1974; VOL. 43; NO 2; PP. 53-55; BIBL. 7 REF.Article

MINIMAX REGRET SIGNIFICANCE POINTS FOR A PRELIMINARY TEST IN REGRESSION ANALYSIS.SAWA T; HIROMATSU T.1973; ECONOMETRICA; E.U.; DA. 1973; VOL. 41; NO 6; PP. 1093-1101; BIBL. 11 REF.Article

ROBUST STATISTICAL PROCEDURES IN PROBLEMS OF LINEAR REGRESSION WITH SPECIAL REFERENCE TO QUANTITATIVE BIOASSAYS. IISEN PK.1972; INTERNATION. STATIST. REV.; G.B.; DA. 1972; VOL. 40; NO 2; PP. 161-172; ABS. FR.; BIBL. 9 REF.Serial Issue

THE FITTING OF STRAIGHT LINES WHEN BOTH VARIABLES ARE SUBJECT TO ERROR AND THE RANKS OF THE MEANS ARE KNOWNWARE JH.1972; J. AMER. STATIST. ASS.; U.S.A.; DA. 1972; VOL. 67; NO 340; PP. 891-897; BIBL. 6 REF.Serial Issue

WEAKER CRITERIA AND TESTS FOR LINEAR RESTRICTIONS IN REGRESSIONWALLACE TD.1972; ECONOMETRICA; E.U.; DA. 1972; VOL. 40; NO 4; PP. 689-698; BIBL. 12 REF.Serial Issue

EXACT CONFIDENCE BANDS FOR LINEAR REGRESSION OVER INTERVALSUUSIPAIKKA E.1983; JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION; ISSN 0162-1459; USA; DA. 1983; VOL. 78; NO 383; PP. 638-644; BIBL. 7 REF.Article

PROPERTIES OF SHRINKAGE ESTIMATORS IN LINEAR REGRESSION WHEN DISTURBANCES ARE NOT NORMALULLAH A; SRIVASTAVA VK; CHANDRA R et al.1983; JOURNAL OF ECONOMETRICS; ISSN 0304-4076; NLD; DA. 1983; VOL. 21; NO 3; PP. 389-402; BIBL. 2 P.Article

GUIDED REGRESSION MODELING FOR PREDICTION AND EXPLORATION OF STRUCTURE WITH MANY EXPLANATORY VARIABLESBASKERVILLE JC; TOOGOOD JH.1982; TECHNOMETRICS; ISSN 0040-1706; USA; DA. 1982; VOL. 24; NO 1; PP. 9-17; BIBL. 23 REF.Article

A NOTE ON THE USE OF RESIDUALS FOR DETECTING AN OUTLIER IN LINEAR REGRESSIONTAMHANE AC.1982; BIOMETRIKA; ISSN 0006-3444; GBR; DA. 1982; VOL. 69; NO 2; PP. 488-489Article

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