{"id":"W2027737630","doi":"10.5539/ijsp.v4n1p138","title":"Reweighted Nadaraya-Watson Estimator of the Regression Mean","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Mathematics; Statistics; Watson; Asymptotic distribution; Multivariate statistics; Regression; Mean squared error; Regression analysis; Applied mathematics; Econometrics; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008217435,0.0008383029,0.001543476,0.001232095,0.0003973065,0.001425932,0.002356092,0.001352382,0.001672553],"category_scores_gemma":[0.03266596,0.0004826841,0.001132859,0.001170201,0.001022537,0.002878126,0.00130224,0.002258003,0.0008142169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006131,"about_ca_system_score_gemma":0.001006877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550179,"about_ca_topic_score_gemma":0.001237856,"domain_scores_codex":[0.9966154,0.001670423,0.0001929091,0.0006855687,0.0006989866,0.0001367896],"domain_scores_gemma":[0.991552,0.004780376,0.000614471,0.001067411,0.001878582,0.000107204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003284879,0.00008834722,0.01075195,0.00056618,0.0004999643,0.0004000589,0.0003284572,0.2599828,0.01580165,0.3844925,0.00253355,0.3242261],"study_design_scores_gemma":[0.00001819185,0.0000951608,0.002221862,0.00007729283,0.00009176755,0.0003287661,0.00006523281,0.9038234,0.01039198,0.07526398,0.007544264,0.00007813483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005006617,0.0003518359,0.9940003,0.00005935989,0.00004388811,0.00001366759,0.00002635295,0.00006219837,0.0004358935],"genre_scores_gemma":[0.2388818,0.001709167,0.753193,0.000164804,0.0002303711,0.0002041627,0.0004405505,0.0001832188,0.00499286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008217435,"threshold_uncertainty_score":0.04345846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235496012996368,"score_gpt":0.4242718799512384,"score_spread":0.3007222786516016,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}