Squares Analysis(제곱 분석)란 무엇입니까?
Squares Analysis 제곱 분석 - Descriptive statistics and Pearson's chi-squares analysis were used to analyze the data and observe the association between outcome (KAP level) and predictor variables (sociodemographic characteristics). [1] A partial least-squares analysis is conducted to have an observation of 83 Indonesian higher education institutions. [2] Using multi-group partial least-squares analysis, the study shows differences exist in the utility of e-learning within gender and Generations of X, Y, and Z. [3] Descriptive statistics, chi-squares analysis, ANOVA, and logistic regression were used to describe ACEs by race and gender and to identify associations between ACEs and onset of aggression, arrest, and psychiatric hospitalization. [4] ,To validate a research model for perceived informational support, perceived emotional support and perceived esteem support, the authors conducted a partial-least-squares analysis of empirical data from an online survey (N = 173) of users of two smoking cessation OHCs. [5] Data were subjected to least-squares analysis of variance using the General Linear Models procedure of SAS (SAS Institute Inc. [6] Data on birth weight, preweaning daily rate of gain and weaning weight of Ndama beef cattle were obtained from routine records kept on the Fashola Livestock Farm between 1959 and 1964 and subjected to least-squares analysis to determine the effect of sex, month, year and sire on the performance characteristics. [7] Fourteen hand models were obtained by the PCA, while three, five, and nine archetypal analysis k-value were selected after a root sum of squares analysis for k = 1,…, 12 archetypes. [8] The least-squares analysis, robust regressions, statistical parametric and non-parametric tests are conducted to analyze the data. [9] Using PCR-RFLP method and direct sequencing, noticed a single-nucleotide polymorphism in exon3 region of the Prolactin gene in 156bp and also the effect of non- genetic factors on each trait was assessed by least-squares analysis for non-orthogonal data by a fixed model. [10] By partial-least-squares analysis, T2DM duration, baseline HbA1c, and ensuing insulin therapy were the strongest predictors of remission. [11] The effect of non-genetic factors on seminal parameters was analyzed using least-squares analysis of variance under general linear model. [12] Using multivariate partial-least-squares analysis, we observed a significant pattern revealing positive associations of striatal as well as extrastriatal DA D2/3 receptors to BOLD response in the thalamo–striatal–cortical circuit, which supports WM functioning. [13] These trends were subject to sequential sum of squares analysis to examine whether annual increases in mean BMI and obesity prevalence estimates diminished or were maintained over the 2002 to 2015 period. [14] We conducted analysis of covariance with potential confounders (body mass index, age, sex) as covariates and partial least-squares analysis. [15] Eventually, more accurate parameters are obtained by a non-linear least-squares analysis of the simple nutation experiment. [16] Recently, a nonlinear least-squares analysis (NLS) algorithm was proposed to overcome the limitation of the wavelength scanning range to achieve super-resolution; however, the NLS failed to measure speckle surfaces owing to the sensibility of initial values. [17] To access the degree to which natural fractures can be predicted based on chemical composition, we applied a partial least-squares analysis, a multivariate method, and recorded an r2 1⁄4 0. [18] Several deconvolution methods, including positive matrix factorization, parallel factor analysis, and least-squares analysis, were applied to the measured spectra, resulting in three classes of WSOM. [19] As a by-product of the proposed method, a de-speckled pseudo-span image, which is obtained from the least-squares analysis of the de-speckled multi-polarization channels, is also produced. [20] The TPP-2M formula, however, poorly describes several materials because it relies heavily on the traditional least-squares analysis. [21] Data were collected from 2,67,599 daily milk yield (DMY) records of 445 buffaloes from 2001 to 2016 and analyzed using fixed linear least-squares analysis. [22] The sub-squares analysis will be used to analyze the surveys. [23] For grade discrimination, we determined grade prediction models for each tea type by partial least-squares analysis; the coefficients of determination of the prediction models were both above 0. [24]기술 통계 및 Pearson의 카이-제곱 분석을 사용하여 데이터를 분석하고 결과(KAP 수준)와 예측 변수(사회인구학적 특성) 간의 연관성을 관찰했습니다. [1] 83개의 인도네시아 고등 교육 기관을 관찰하기 위해 부분 최소 제곱 분석이 수행됩니다. [2] 다중 그룹 부분 최소 제곱 분석을 사용하여 이 연구는 성별 및 X, Y, Z 세대 내에서 전자 학습의 유용성에 차이가 있음을 보여줍니다. [3] 기술 통계, 카이 제곱 분석, ANOVA 및 로지스틱 회귀를 사용하여 인종 및 성별에 따른 ACE를 설명하고 ACE와 공격성 발병, 체포 및 정신과 입원 간의 연관성을 식별했습니다. [4] ,인지된 정보 지원, 인지된 정서적 지원 및 인지된 존중 지원에 대한 연구 모델을 검증하기 위해 저자는 두 개의 금연 OHC 사용자에 대한 온라인 설문조사(N=173)의 경험적 데이터에 대한 부분 최소 제곱 분석을 수행했습니다. [5] 데이터는 SAS의 일반 선형 모델 절차(SAS Institute Inc. [6] Ndama 육우의 출생 체중, 이유 전 일일 증가율 및 이유 체중에 대한 데이터는 1959년에서 1964년 사이에 Fashola 가축 농장에서 보관된 일상 기록에서 얻었고 성별, 월, 연도 및 영향을 결정하기 위해 최소 제곱 분석을 받았습니다. 성능 특성을 말씀해 주십시오. [7] 14개의 손 모델은 PCA에 의해 얻은 반면 3, 5, 9개의 원형 분석 k-값은 k = 1,…, 12개의 원형에 대한 제곱근 분석 후 선택되었습니다. [8] 최소 자승 분석, 강력한 회귀 분석, 통계적 모수 및 비모수 검정을 수행하여 데이터를 분석합니다. [9] PCR-RFLP 방법과 direct sequencing을 이용하여 156bp의 Prolactin 유전자의 exon3 영역에서 단일염기다형성을 확인하였고, non-orthogonal data에 대한 최소자승분석을 통해 각 형질에 대한 비유전적 요인의 영향을 평가하였다. 고정 모델. [10] 부분 최소 제곱 분석에 따르면 T2DM 기간, 기준선 HbA1c 및 후속 인슐린 요법이 관해의 가장 강력한 예측인자였습니다. [11] 정액 매개변수에 대한 비유전적 요인의 영향은 일반 선형 모델에서 분산의 최소 제곱 분석을 사용하여 분석되었습니다. [12] 다변량 부분 최소 제곱 분석을 사용하여 우리는 WM 기능을 지원하는 시상-선조체-피질 회로에서 BOLD 반응에 대한 선조체 및 선조체외 DA D2/3 수용체의 긍정적인 연관성을 나타내는 중요한 패턴을 관찰했습니다. [13] 이러한 경향은 평균 BMI 및 비만 유병률 추정치의 연간 증가가 2002년에서 2015년 사이에 감소했는지 또는 유지되었는지 여부를 조사하기 위해 순차 제곱합 분석의 대상이 되었습니다. [14] 잠재적 교란 요인(체질량 지수, 연령, 성별)을 공변량으로 하여 공분산 분석 및 부분 최소 자승 분석을 수행했습니다. [15] 결국, 간단한 nutation 실험의 비선형 최소 제곱 분석을 통해 보다 정확한 매개변수를 얻을 수 있습니다. [16] 최근 초해상도를 달성하기 위해 파장 스캐닝 범위의 한계를 극복하기 위해 비선형 최소 자승 분석(NLS) 알고리즘이 제안되었습니다. 그러나 NLS는 초기값의 민감성으로 인해 speckle 표면을 측정하지 못했습니다. [17] 화학적 조성을 기반으로 자연 골절을 예측할 수 있는 정도에 액세스하기 위해 다변량 방법인 부분 최소 자승 분석을 적용하고 r2 1/4 0을 기록했습니다. [18] 양의 행렬 분해, 병렬 요인 분석 및 최소 자승 분석을 포함한 여러 디콘볼루션 방법이 측정된 스펙트럼에 적용되어 WSOM의 세 가지 클래스가 생성되었습니다. [19] 제안하는 방법의 부산물로 얼룩이 제거된 다중 편광 채널의 최소 자승 분석을 통해 얻은 얼룩이 제거된 의사 스팬 이미지도 생성됩니다. [20] 그러나 TPP-2M 공식은 전통적인 최소 제곱 분석에 크게 의존하기 때문에 여러 재료를 제대로 설명하지 못합니다. [21] 데이터는 2001년부터 2016년까지 445마리의 버팔로에 대한 2,67,599개의 일일 우유 생산량(DMY) 기록에서 수집되었으며 고정 선형 최소제곱 분석을 사용하여 분석되었습니다. [22] 하위 사각형 분석은 설문 조사를 분석하는 데 사용됩니다. [23] 등급 판별을 위해 부분 최소 제곱 분석을 통해 각 차 종류에 대한 등급 예측 모델을 결정했습니다. 예측 모델의 결정 계수는 모두 0 이상이었습니다. [24]
orthogonal partial least 직교 부분 최소
Differential serum and urine metabolic profiles between the pre- and post-training group were obtained on gas chromatography coupled to mass spectrometry (GC-MS) and data subsequently underwent orthogonal partial least-squares analysis (OPLS). [1] After successful classification, visualization tools of robust principal component analysis and orthogonal partial least squares analysis were explored to uncover fingerprints of unusual (atypical and spiked) paprika powders. [2] For the annotated metabolites, we created statistically significant models for storage time prediction for all storage conditions by orthogonal partial least squares analysis, using storage time as the y-variable. [3] Using bidirectional orthogonal partial least squares analysis, 19 bacterial genera were identified as core functional genera linked to the metabolism of chemical compounds during the manufacturing process, while three genera, namely Klebsiella, Lactococcus, and Bacillus, also dominated the Fu brick tea fermentation process. [4] Statistical analysis was conducted using principal component analysis (PCA) and orthogonal partial least-squares analysis (OP-LSDA). [5] ANOVA (analysis of variance) and orthogonal partial least squares analysis (OPLS) identified 20 metabolites as tentative biomarkers of Colletotrichum theobromicola infection (e. [6]훈련 전 그룹과 훈련 후 그룹 간의 차등 혈청 및 소변 대사 프로필은 질량 분석법(GC-MS)과 결합된 가스 크로마토그래피에서 얻었고 데이터는 후속적으로 직교 부분 최소 제곱 분석(OPLS)을 거쳤습니다. [1] 성공적인 분류 후, 강력한 주성분 분석 및 직교 부분 최소 제곱 분석의 시각화 도구를 탐색하여 특이한(비정형 및 스파이크) 파프리카 분말의 지문을 발견했습니다. [2] 주석이 달린 대사 산물의 경우 저장 시간을 y-변수로 사용하여 직교 부분 최소 자승 분석을 통해 모든 저장 조건에 대한 저장 시간 예측을 위해 통계적으로 유의한 모델을 만들었습니다. [3] 양방향 직교 부분 최소 제곱 분석을 사용하여 제조 과정에서 화합물의 대사와 관련된 핵심 기능 속으로 19개의 박테리아 속이 확인되었으며, 푸 브릭 차 발효 과정에서도 Klebsiella, Lactococcus 및 Bacillus의 3개 속이 지배적이었습니다. [4] nan [5] nan [6]
multivariate curve resolution
The kinetic of the photodecarbonylation has been elucidated by multivariate curve resolution alternating least‐squares analysis. [1] The role of each initial IND crystal state (γ-form, α-form, amorphous) was explored using Raman spectroscopy with multivariate curve resolution by alternating least-squares analysis (MCR-ALS) as a chemometrics, X-ray diffraction, and tablet dissolution testing. [2] Variations in the band due to O–H stretching vibration overtones of water and alcohol with changes in concentration and temperature were determined by a multivariate curve resolution-alternating least squares analysis, which identified the components of the band causing the spectral variation. [3]광탈탄소화의 동역학은 최소 제곱 분석을 교대하는 다변량 곡선 분해능에 의해 설명되었습니다. [1] 각 초기 IND 결정 상태(γ-형, α-형, 비정질)의 역할은 화학 측정법, X선 회절 및 정제로 교대 최소 제곱 분석(MCR-ALS)에 의한 다변량 곡선 분해능이 있는 라만 분광법을 사용하여 탐구되었습니다. 용해 테스트. [2] nan [3]
two stage least 최소 2단계
Based on these innovation data, this study conducts two-stage least squares analysis that considers the time-lag effect. [1] A fixed effects two-stage least squares analysis is conducted to investigate the determinants of environmental income and a quantile regression shows the distribution of effects. [2] Two-stage least squares analysis highlights that child labor undermines academic achievement regardless of subject, gender, and age. [3]이러한 혁신 데이터를 기반으로 본 연구에서는 시차 효과를 고려한 2단계 최소 자승 분석을 수행한다. [1] 고정 효과 2단계 최소 제곱 분석은 환경 소득의 결정 요인을 조사하기 위해 수행되고 분위수 회귀는 효과 분포를 보여줍니다. [2] nan [3]
Least Squares Analysis 최소제곱해석
Based on partial least squares analysis (PLS) which is a model fitting based on validity and reliability analysis, the results showed that macro data volume, macro data speed, and macro data variability are based on three criteria of e-government implementation ie e-government core. [1] Impacts were compared by using the Generalized Least Squares analysis. [2] Effective wavelengths were selected using regression coefficients based on partial least squares analysis. [3] Weighted, non-linear least squares analysis was used to determine the parameters from the data sets and Monte-Carlo simulations were utilized to obtain estimates of the error. [4] Three-stage least squares analysis was employed in the empirical investigation. [5] Afterwards, Partial Least Squares analysis (PLS) indicated lycorine and 11,12-dehydro-2-methoxy-assoanine as the compounds responsible for the anti-inflammatory activity of the bioactive fraction. [6] We relate variations in model performance with environmental completeness, data characteristics, and species traits through a partial least squares analysis. [7] Partial least squares analysis identified one significant latent variable (accounting for 59. [8] The partial least squares analysis on 223 giver-users and 335 giver-non-users showed that bonding and bridging social capital encourage giver-non-users to use the apps. [9] A mul-tivariate least squares analysis was used to identify a series of equations that would serve to project state insecurity, both in terms of homicide and car theft. [10] The partial least squares analysis was used to test the model validity for this consumer group. [11] To fit and test the research hypothesis, partial least squares analysis was used. [12] To achieve this goal, we apply structural equation modelling based on partial least squares analysis (PLS). [13] Based on the results of an online survey in three cities of Taiwan, we empirically test the research model using partial least squares analysis. [14] The growth performance was analyzed by least squares analysis and information on reproduction parameters of Chaugarkha goats was generated. [15] Design/methodology/approachStructural equation modelling with partial least squares analysis has been applied. [16] Data were analysed using General Linear Model of least squares analysis of variance to test the influence of genetic group, sex, season and age on weights and linear body measurements such as height at withers (HT), body length (BL), Neck length (NL), Neck circumference (NC), heart girth (HG), Foreleg length (FL), Hind leg length (HL), Face length (FA), Ear length (EA), Headwidth (HW), shoulder width (SW), tail length (TL) and Rump height (RH). [17] We use a combination of scanning electron microscope (SEM) observation, dietary composition analysis (stomach observation, trophic niche amplitude, trophic overlap, and feeding strategy), and geometric morphometric tools (discriminant analysis and two-block partial least squares analysis). [18] An ordinary least squares analysis was used to model differences between event types. [19] The associations between electrophysiological spectral signatures and each child's neurocognitive profiles were characterized using a partial-least squares analysis. [20] Testing constructs from the Unified Theory of Acceptance and Use of Technology 2 and environmental awareness, partial least squares analysis was performed with the software SmartPLS to investigate a dataset of 224 respondents. [21] In the partial least squares analysis, decreases in fasting insulin and in estimated insulin resistance were associated with the observed increase in MR‐proANP concentrations. [22] Partial least squares analysis combined behavioural performance, ERPs, and/or event-related EEG band power (ERBP). [23] If required, a straight directional well path, may also be derived through a linear approximation to the optimised non-linear trajectory by least squares analysis. [24] Partial least squares analysis showed that 40. [25] Direct classical least squares analysis further identified the relative abundances of the three major components of the single particles: soot (69. [26] Findings The empirical results are based on partial least squares analysis and statistical package for the social sciences. [27] Partial Least Squares analysis shows a) that 41. [28] Partial least squares analysis showed that 69. [29] Based on these innovation data, this study conducts two-stage least squares analysis that considers the time-lag effect. [30] Phylogenetic signal was tested using the K statistics and associations between morphology and environmental variables were made using a phylogenetic partial least squares analysis. [31] A two-block partial least squares analysis 2B-PLS highlighted differences in biodiversity indices and structural traits between the two forest ecosystems. [32] A fixed effects two-stage least squares analysis is conducted to investigate the determinants of environmental income and a quantile regression shows the distribution of effects. [33] A least squares analysis of the ab initio functions at large internuclear distances in conjunction with long-range perturbation theory (LRPT) revealed three different asymptotic behaviors of the LΠΣ(R → +∞)-functions: const. [34] Linear calibration models with high R², low error and high ratio of performance to deviation values were observed from partial least squares analysis for different wood properties. [35] A total of 394 hyperfine components were measured and subjected to a least squares analysis which allowed determining twelve hyperfine constants for nitrogen and deuterium nuclei. [36] Survey data collected from 176 employees of several banks in Mongolia were used to test our model by using partial least squares analysis. [37] Using a predictor-corrector procedure that fits real climatic data to a continuous periodic function, we demonstrate how climatic variables can be included in the model and how models for the time variation of temperature and precipitation in a given area can be constructed just by appropriately choosing the parameters of a sinusoidal function and then correcting the output using nonlinear least squares analysis. [38] An ordinary least squares analysis was used to model differences between event types. [39] Partial least squares analysis on data from 355 individuals who have never visited London (196 and 159 under tWOM and sWOM scenarios, respectively) shows leisure constraints exhibit restraining (with lack of interest contributing negatively to sWOM recommendations) and enabling (with lack of time contributing positively to tWOM recommendations) potential as recommendation motivators. [40] Discriminant partial least squares analysis further identified optimum biochemical modulations in the shoots of PKV AKM 12-28 and 75 mM NaCl. [41] A multivariate Partial Least Squares analysis revealed patterns of neural overlap between memory and problem solving during the generation phase that were distinct from the elaboration phase. [42] A partial least squares analysis of network data in a medium-sized company (N = 343) offers evidence of an effect of the relational dimension (tie strength), through social support. [43] Statistical models and machine learning regression algorithms, including ordinary least squares analysis, generalized linear and generalized additive models, and support vector regression were utilized to model the occurrence of DF over a long period. [44] After successful classification, visualization tools of robust principal component analysis and orthogonal partial least squares analysis were explored to uncover fingerprints of unusual (atypical and spiked) paprika powders. [45] Additionally, using a partial least squares analysis the relationship between spatiotemporal parameters of gait and the margins of stability was explored in both groups. [46] In combination with partial least squares analysis and Procrustes transformation, these PMF descriptors were employed successfully to develop correlations that predict the activities of target protein inhibitors involved in various diseases (cancer, neurodegenerative disorders, HIV, and malaria). [47] Phylogenetic generalized least squares analysis showed plant phylogeny weakened the relationships between species traits vs. [48] The latter may be trained, tested and validated with Partial Least Squares analysis. [49] This research uses a quantitative approach with SEM Partial Least Squares analysis method. [50]부분 최소 제곱 분석(PLS) 기반 타당도 및 신뢰도 분석에 기반한 모형 적합성으로, 결과는 매크로 데이터 볼륨, 매크로 데이터 속도 및 매크로 데이터 변동성은 전자 정부 구현의 세 가지 기준을 기반으로 합니다. 전자정부 핵심. [1] Generalized Least Squares 분석을 사용하여 영향을 비교했습니다. [2] nan [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] nan [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24] 부분 최소 제곱 분석은 40으로 나타났습니다. [25] nan [26] nan [27] nan [28] nan [29] 이러한 혁신 데이터를 기반으로 본 연구에서는 시차 효과를 고려한 2단계 최소 자승 분석을 수행한다. [30] nan [31] nan [32] 고정 효과 2단계 최소 제곱 분석은 환경 소득의 결정 요인을 조사하기 위해 수행되고 분위수 회귀는 효과 분포를 보여줍니다. [33] nan [34] nan [35] nan [36] nan [37] nan [38] nan [39] nan [40] nan [41] 다변량 부분 최소 제곱(Partial Least Squares) 분석은 정교화 단계와 구별되는 생성 단계 동안 메모리와 문제 해결 사이의 신경 중첩 패턴을 보여주었습니다. [42] nan [43] nan [44] 성공적인 분류 후, 강력한 주성분 분석 및 직교 부분 최소 제곱 분석의 시각화 도구를 탐색하여 특이한(비정형 및 스파이크) 파프리카 분말의 지문을 발견했습니다. [45] nan [46] nan [47] nan [48] nan [49] nan [50]
squares analysis revealed 제곱 분석 공개
The least-squares analysis revealed that the season of calving, period of calving, and parity affected several production and reproduction traits of Vrindavani cows significantly. [1] A multivariate Partial Least Squares analysis revealed patterns of neural overlap between memory and problem solving during the generation phase that were distinct from the elaboration phase. [2] Additionally, multi-group comparisons in partial least squares analysis revealed partial but statistically significant differences in the path relationships between male customers (568) and female customers; (485); foreign (465) and domestic (588) customers, among night market visitors. [3] Least squares analysis revealed that Barbari goats showed significantly higher average litter size (2. [4] Odds ratio and least squares analysis revealed a significant association ( P < 0. [5] Further, the least squares analysis revealed non significant effect of season of calving and age at first calving groups on all first lactation reproduction and milk production traits. [6]최소 자승 분석은 분만 시기, 분만 기간 및 출산율이 Vrindavani 젖소의 여러 생산 및 번식 특성에 상당한 영향을 미치는 것으로 나타났습니다. [1] 다변량 부분 최소 제곱(Partial Least Squares) 분석은 정교화 단계와 구별되는 생성 단계 동안 메모리와 문제 해결 사이의 신경 중첩 패턴을 보여주었습니다. [2] nan [3] nan [4] 승산비와 최소 제곱 분석은 유의한 연관성을 나타냈습니다( P < 0. [5] 또한, 최소 제곱 분석은 모든 첫 번째 수유 생식 및 우유 생산 특성에 대한 분만 시기와 첫 분만 그룹의 연령의 유의한 영향이 없는 것으로 나타났습니다. [6]
squares analysis showed 표시되는 제곱 분석
The least-squares analysis showed a significant association (p < 0. [1] Partial least squares analysis showed that 40. [2] Partial least squares analysis showed that 69. [3] Phylogenetic generalized least squares analysis showed plant phylogeny weakened the relationships between species traits vs. [4] Least-squares analysis showed that the slope and intercept of the regression line are 1. [5]최소자승분석은 유의한 연관성을 보였다(p < 0. [1] 부분 최소 제곱 분석은 40으로 나타났습니다. [2] nan [3] nan [4] nan [5]
squares analysis indicated
Partial least squares analysis indicated that precipitation was high between sowing and 3rd leaf was determinant for yield, and a negative correlation between these variables was observed. [1] Least squares analysis indicated that effect of gender, month of hatch and generation were significant (p less than 0. [2] Statistical testing using the mean-centered Partial Least Squares analysis indicated periods where a given visual or auditory stimuli had higher activation. [3]부분 최소 자승 분석 결과 파종 사이에 강수량이 많았고 세 번째 잎이 수확량을 결정하는 것으로 나타났으며 이러한 변수 간에는 음의 상관 관계가 관찰되었습니다. [1] 최소자승분석 결과 성별, 부화월, 세대의 영향이 유의한 것으로 나타났다(p 미만. [2] nan [3]