Perilaku agen-agen ekonomi terkadang sulit untuk dijelaskan dengan deskripsi, begitu pula data-data statistik juga terkadang susah diterjemahkan. Untuk itu, statistika memiliki peran yang penting dalam upaya membantu menjelaskan fenomena ekonomi dengan menggunakan pendekatan statistika. Bagian ini akan menjelaskan mengenai dasar-dasar statistika yang perlu dipahami bagi peneliti yang ingin mempelajari statistika lebih lanjut. Tujuan Instruksional Umum Mahasiswa yang mempelajari dasar-dasar statistika diharapkan akan dapat dan mampu: 1. Memahami konsep dan pengertian statistika, 2. Memahami kegunaan statistika, 3. Memahami jenis-jenis statistika, 4. Memahami hubungan statistika dan metode ilmiah, 5. Membedakan data statistik, 6. Memahami populasi dan sampel, dan 7. Melakukan dan menentukan skala pengukuran data statistik.
Perilaku agen-agen ekonomi terkadang sulit untuk dijelaskan dengan deskripsi, begitu pula data-data statistik juga terkadang susah diterjemahkan.
Statistik merupakan salah satu cabang ilmu yang sangat penting bagi masyarakat akademik. Cabang keilmuan apapun yang menyangkut data baik kualitatif apalagi kuantitatif, perlu menampilkan, mengolah serta menganalisis data-data tersebut menjadi pernyataan serta kesimpulan ilmiah yang dapat dipertanggungjawabkan. Referensi yang dapat digunakan dalam khazanah ilmu statistik sudah cukup banyak, namun masih membuka peluang yang luas bagi penulis untuk memberikan sumbangan berharga dari berbagai sudut pandang. Buku ini merupakan salah satu dari hasil upaya untuk dapat memperkaya khazanah tersebut. Apa yang ditampilkan dalam buku ini mencakup teori dasar, praktek serta terutama bagaimana memanfaatkan perangkat lunak untuk dapat membantu pembaca menampilkan, mengolah serta menganalisis data.
Kurtosis merupakan derajat pusat persebaran data yaitu sebesar 1,17 yang
menunjukkan persebaran data yang ... Data Manual Berikut adalah langkah-
langkah pengolahan data manual dari nilai prestasi belajar matematika kelas VII
di MTs.
Buku ini mengkaji konsep dasar statistika disertai beberapa aplikasinya, ditambah pula kajian mengenai praktik pengolahan data kuantitatif yang berhasil dijaring melalui penelitian. Dalam buku ini, metode penyajiannya dibuat sedemikian rupa sehingga para pembaca dapat menggunakannya dengan cukup mudah. Sesuai dengan nama dan isi kajiannya yang bersifat dasar, buku ini tidak membeberkan penurunan sifat-sifat, rumusrumus, dan aturan-aturan yang memerlukan matematika lanjut. Hal ini dengan maksud agar isi buku ini dapat diikuti oleh setiap pembaca dengan berbagai latar belakang.
Di samping keikutsertaan dalam diseminasi hasil pemikiran dan penelitian
melalui seminar dan konferensi, penulis juga pernah menghasilkan artikel yang
dipublikasikan dalam jurnal, antara lain: (1) Alternatif Perkuliahan Matematika
dengan ...
This introductory graduate text is based on a graduate course the author has taught repeatedly over the last ten years to students in applied mathematics, engineering sciences, and physics. Each chapter begins with an introductory development involving ordinary differential equations, and goes on to cover such traditional topics as boundary layers and multiple scales. However, it also contains material arising from current research interest, including homogenisation, slender body theory, symbolic computing, and discrete equations. Many of the excellent exercises are derived from problems of up-to-date research and are drawn from a wide range of application areas.
This introductory graduate text is based on a graduate course the author has taught repeatedly over the last ten years to students in applied mathematics, engineering sciences, and physics.
Differential inclusions play an important role as a tool in the study of various dynamical processes described by equations with a discontinuous or multivalued right-hand side. This text acts as an introduction to the subject.
Differential inclusions play an important role as a tool in the study of various dynamical processes described by equations with a discontinuous or multivalued right-hand side. This text acts as an introduction to the subject.
This text is about the dynamical aspects of ordinary differential equations and the relations between dynamical systems and certain fields outside pure mathematics. It is an update of one of Academic Press's most successful mathematics texts ever published, which has become the standard textbook for graduate courses in this area. The authors are tops in the field of advanced mathematics. Steve Smale is a Field's Medalist, which equates to being a Nobel prize winner in mathematics. Bob Devaney has authored several leading books in this subject area. Linear algebra prerequisites toned down from first edition Inclusion of analysis of examples of chaotic systems, including Lorenz, Rosssler, and Shilnikov systems Bifurcation theory included throughout.
This text is about the dynamical aspects of ordinary differential equations and the relations between dynamical systems and certain fields outside pure mathematics.
A Modern Introduction to Differential Equations, Second Edition, provides an introduction to the basic concepts of differential equations. The book begins by introducing the basic concepts of differential equations, focusing on the analytical, graphical, and numerical aspects of first-order equations, including slope fields and phase lines. The discussions then cover methods of solving second-order homogeneous and nonhomogeneous linear equations with constant coefficients; systems of linear differential equations; the Laplace transform and its applications to the solution of differential equations and systems of differential equations; and systems of nonlinear equations. Each chapter concludes with a summary of the important concepts in the chapter. Figures and tables are provided within sections to help students visualize or summarize concepts. The book also includes examples and exercises drawn from biology, chemistry, and economics, as well as from traditional pure mathematics, physics, and engineering. This book is designed for undergraduate students majoring in mathematics, the natural sciences, and engineering. However, students in economics, business, and the social sciences with the necessary background will also find the text useful. Student friendly readability- assessible to the average student Early introduction of qualitative and numerical methods Large number of exercises taken from biology, chemistry, economics, physics and engineering Exercises are labeled depending on difficulty/sophistication End of chapter summaries Group projects
This book is designed for undergraduate students majoring in mathematics, the natural sciences, and engineering. However, students in economics, business, and the social sciences with the necessary background will also find the text useful.
Easy-to-use text examines principal method of solving partial differential equations, 1st-order systems, computation methods, and much more. Over 600 exercises, with answers for many. Ideal for a 1-semester or full-year course.
Easy-to-use text examines principal method of solving partial differential equations, 1st-order systems, computation methods, and much more. Over 600 exercises, with answers for many. Ideal for a 1-semester or full-year course.
This book presents a method for solving linear ordinary differential equations based on the factorization of the differential operator. The approach for the case of constant coefficients is elementary, and only requires a basic knowledge of calculus and linear algebra. In particular, the book avoids the use of distribution theory, as well as the other more advanced approaches: Laplace transform, linear systems, the general theory of linear equations with variable coefficients and variation of parameters. The case of variable coefficients is addressed using Mammana’s result for the factorization of a real linear ordinary differential operator into a product of first-order (complex) factors, as well as a recent generalization of this result to the case of complex-valued coefficients.
This book presents a method for solving linear ordinary differential equations based on the factorization of the differential operator.
