Koleksi Perpustakaan

Modernisasi dan pelestarian perkembangan metode dan teknik penulisan aksara Bali

Development of modern methods for writing Balinese script; conservation of Balinese script; religious aspects of Balinese script to Balinese people; survey.

Metode Riset Akuntansi

Buku ajar ini berisi penggolongan riset akuntansi berdasarkan pengujian hipotesis, penyusunan pendahuluan, landasan teori atau kajian/tinjauan pustaka dan hipotesis, metode penelitian, laporan hasil penelitian dan penutup (kesimpulan, implikasi dan saran).

METODE PENELITIAN SOSIAL

Buku ini menjelaskan lebih dari 250 konsep dalam metode penelitian sosial, termasuk di dalamnya adalah konsep-konsep dalam statistik. Selain dijelaskan secara definitif, setiap konsep dalam buku ini juga diuraikan secara lebih mendalam dengan menjelaskan berbagai isu atau permasalahan utama dalam praktik penelitian berkaitan dengan konsep yang dijelaskan. Di setiap akhir uraian, dijelaskan beberapa konsep yang berhubungan dengan konsep yang dibahas. -------- Untuk mempelajari konsep-konsep dalam metode penelitian sosial, mahasiswa perlu melihat konteks yang berada di sekitarnya serta menghubungkan dengan konsep-konsep tersebut. Karena itu, posisi buku karya Martono ini menjadi sangat penting. Buku ini tidak hanya menyajikan setiap konsep yang terisolasi, namun buku ini juga menyoroti hubungan antaride. Strategi ini membuat mahasiswa lebih mudah mempelajari ide-ide, dan menunjukkan kepada mereka mengapa mereka harus kembali ke konsep tertentu selama beberapa kali jika mereka ingin mempelajarinya secara mendalam. William L. Neuman Profesor Sosiologi University of Wisconsin – Whitewater

Metode Penelitian Kuantitatif, Kualitatif & Penelitian Gabungan

Buku ajar (textbook) ini mempertegas ihwal penelitian (research) sebagai suatu sistem yang terintegratif. Di mana ketepatan hasil penelitian bukan hanya ditentukan oleh satu aspek, melainkan dipengaruhi oleh berbagai faktor di dalam dan di luar objek penelitian. Menyadari kaidah ini, sistematika kajian dan pembahasan mengenai Metode Penelitian ini disajikan secara konseptual yang mencakupi metode penelitian kuantitatif, kualitatif, dan penelitian gabungan Buku persembahan penerbit PrenadaMedia

Beiträge zu Gegenwartsproblemen der Angewandten Statistik

Wirtschaft und Statistik

Non-parametric estimates of the labor supply effects of negative income tax programs

Non-Linear Dynamic Problems for Composite Cylindrical Shells

This monograph will be valuable for English-speaking scientists wanting to know more about the state-of-the-art in Russian research on non-linear shell theory. It will also be of value to all materials scientists concerned with the use and behaviour of composite materials in structural applications.

Inferences from parametric and non-parametric covariance matrix estimation procedures

A non-parametric analysis of productivity

Non-Parametric Statistics

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 55. Chapters: Kolmogorov-Smirnov test, Histogram, Kuiper's test, Multivariate kernel density estimation, Resampling, Mann-Whitney U, Cohen's kappa, Fisher's exact test, Spearman's rank correlation coefficient, Ranking, Geometric median, Anderson-Darling test, Kendall tau rank correlation coefficient, ANOVA on ranks, McNemar's test, Wilcoxon signed-rank test, Semiparametric regression, U-statistic, Empirical distribution function, Kernel smoother, Friedman test, Chi-square test, Kernel regression, Variable kernel density estimation, Hodges-Lehmann estimator, Kendall's W, Cramer-von-Mises criterion, Multinomial test, Durbin test, Siegel-Tukey test, Empirical process, Ranklet, Van der Waerden test, Nonparametric regression, Kruskal-Wallis one-way analysis of variance, Binomial test, Mantel test, Sign test, Cochran test, Wald-Wolfowitz runs test, Rank product, Median test, Hoeffding's independence test, Normal score, Concordant pair, Stochastic kernel estimation, Mean integrated squared error, Order of a kernel.

Non-parametric econometric methods for continuous-time diffusion models

Continuous-time diffusion models are widely used in economics and finance to describe the dynamics of economic variables such as asset prices, interest rates, and exchange rates. Unfortunately, economic theory puts only few restrictions on the specification of the processes, and as a consequence many parametric diffusion models coexist in the literature. To mitigate the risk caused by misspecification, several authors have proposed non-parametric methods to estimate diffusion processes. However, the fundamental question whether the process is actually a diffusion still remains. My doctoral dissertation is the first to provide a statistical method to directly answer this question. I develop a new non-parametric testing procedure to tell whether the underlying continuous-time Markov process is a diffusion, and apply it to short-term interest rates and foreign exchange rates. I also propose new semi-parametric and non-parametric estimators for diffusion processes and derive asymptotic results under fairly weak conditions.

Mathematische Operationsforschung und Statistik

The non-parametric identifiability of a competing risks model with regressors

A Non-parametric Approach to the Analysis of Two Stage Mark-recapture Experiments

Scalable Non-Parametric Pattern Recognition Techniques for Data Mining

Non-parametric Gradient Less Shape Optimization in Solid Mechanics

Speech Recognitions System Using Parametric and Non-parametric and Non-parametric Methods

Principles and Methodology of Non-Parametric Discrimination

This dissertation, "Principles and Methodology of Non-parametric Discrimination" by 黃達仁, Tat-yan, Wong, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b4212790 Subjects: Discriminant analysis Nonparametric statistics

Non-Parametric Bayesian Filtering for Multiple Object Tracking